Overview Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at www.accenture.com . Our Laboratory Reinvention practice is where scientific and laboratory innovation meets leading-edge technology. We help our clients envision and achieve Digital and AI Laboratory Transformation through co-creation and application of digital technologies, revolutionizing scientific and laboratory processes. Our people have a combination of scientific and laboratory informatics expertise, tied with strategic and business consulting experience, and industry platforms knowledge. We provide an innovative approach and global scale across a variety of industries. We leverage digital technologies such as GenAI and Agentic SI solutions, automation, Internet of Things, analytics, and cloud, in combination with a fundamental redesign of the scientific user experience to help our clients better capture, manage, integrate, and analyze complex scientific data. We help improve the research, development, and manufacturing of new products, improve quality, ensure compliance, reduce time to market and improve operational efficiency. As a member of our team, you will be exposed to the cutting-edge technologies and processes that many leading companies and government agencies utilize. What would you do? Deliver exceptional, differentiated solutions for our clients that advance their ambitions for digital laboratory operations and scientific intelligence. As a Forward Deployed Scientific Informatics Consultant, you can expect to: Utilize AI tools to effectively elicit, demonstrate, develop, and scale solutions that meet the needs of laboratory scientists across the value chain Conduct stakeholder interviews and working sessions to gather insights and clarify needs Analyze and translate business requirements into functional and technical specifications for development and configuration of custom and off-the-shelf solutions Develop and maintain comprehensive project documentation, including requirement specifications, use cases, user stories, and design documents Operate in and perform project management activities for both waterfall and agile methodologies Support the design and implementation of solutions that comply with regulatory standards in GxP and non-GxP environments Support the accurate and timely design, creation, and migration of scientific master data and transactional data Provide training and ongoing support to end-users on new systems and processes Prepare SDLC documents (Process Maps, Workflows, Specs, Test Scripts, etc.) Provide point-of-view on laboratory and scientific informatics solutions and strengths and weaknesses of various technology solutions Advise on data and system architectures as they relate to industry solutions for the laboratory Help clients better capture, handle, integrate and analyze complex scientific data Oversee, design, and implement digital solutions such as Agentic Lab Capabilities, Laboratory Information Management Systems (LIMS), Electronic Laboratory Notebooks (ELN), Chromatography Data Systems (CDS), Scientific Data Management Systems (SDMS), Instrument Orchestration technologies, Internet of Things (IoT), and cloud Travel - candidates must be willing to travel up to 50% to client locations

Starting Pay: USD $110-150K/year for Advanced/Senior level, $80-100K/year for Mid-level (details below) Further pay promotions available based on performance once on the job We are only accepting experienced candidates at this time. If you are a beginner, your application will be rejected. Note: this job listing is incomplete due to the job board's word limit. Click "Apply" to see the full job description and application on our jobs site. Introduction Elite Software Automation (ESA) is a boutique consulting firm that transforms successful, fast-growing businesses into dominant market players through comprehensive operational optimization. Our clients are established 7 and 8 figure enterprises with service-intensive business models. They excel at client acquisition and sales, but face severe operational challenges as they scale. Their back-end operations struggle with process effectiveness, system inadequacy, and automation deficiency. Growth creates chaos. Chaos forces stabilization. Stabilization stalls growth. The cycle repeats, each iteration more expensive and less effective. This is where we come in. We don't implement cookie-cutter solutions or recycle methodologies. We don't take requirements and build what clients ask for. We investigate their businesses at a granular level, identify actual root causes of their profit erosion, and re-engineer their operations from first principles. We design and implement comprehensive custom business processes that ensure effective and efficient operation across all business areas. We build custom systems that enforce correct process execution and eliminate human error, sabotage, and information loss. We automate all repetitive logic, removing manual effort and making execution instant. This is possible because of our unique approach: focused and methodical execution, dedicated attention to each client's specific business circumstances, extreme detail orientation, and our in-house custom technology and methodology. We don't outsource anything. Everything is executed by our full-time in-house team of expert business process analysts and full-stack technical experts. What we offer you if you're qualified: You won't write reports that executives ignore. You won't implement solutions that don't work. You won't take requirements from clients and translate them into technical specifications. You'll go into inefficient and overwhelmed business operations and actually fix them from root to core. You'll have real autonomy to design custom solutions based on first-principles thinking. You'll have real accountability for actual business results. You'll work without corporate politics, without useless meetings, without reports for the sake of reports. Just you, the problem, and the authority to solve it. And you'll be paid accordingly. Pay increases tied to results delivery, not tenure. Work from anywhere in the world. Flexible schedule. The freedom to make your own decisions and be at your most productive. If you want validation, safety, and easy work, go elsewhere. If you want to do the hardest, most intellectually demanding process optimization work that exists and be rewarded for delivering impossible results, keep reading. We are selective about both clients and team members. We vet our prospective clients rigorously and work only with mature businesses where our services will make a real difference. We ensure our methodology is always followed and our clients commit to working with it. This is a cooperative relationship where we focus on business results and help define how to achieve them. Full Description On Our Site This job listing is incomplete due to the job board's word limit. Click "Apply" to see the full job description and application on our jobs site. How Our Organization Works Our goal with every single project we undertake is improving the actual day-to-day operation of our client's business, and doing so quickly. To achieve that, we operate with a rigorous methodology that considers things holistically and accomplishes excellence in both business processes and technology/systems, without mixing up important business decisions with technical details and deliverables. First, process decisions are made based on what is good for the business. This is a thorough process involving both a comprehensive investigation of current day-to-day operations and conceptual design of new business processes engineered to make operations better. Then a separate set of technical experts work with you to create innovative technical solutions that fit those business needs and requirements. Clear delineation of expertise is enforced and utilized: business experts don't make technical decisions by themselves and technical experts don't make business decisions by themselves, but both are accountable to work proactively together, raising and resolving questions or issues until the solutions actually achieve the expected results in our clients' organizations. Full Description On Our Site This job listing is incomplete due to the job board's word limit. Click "Apply" to see the full job description and application on our jobs site. Role of Business Process Analyst in ESA In this job, you will be ultimately responsible for creating the results for our clients' business operations. You will be responsible for the client's business processes and continuous improvements to their day-to-day business operations. When you get a new client, it will be your responsibility to thoroughly investigate the client's day-to-day operations and reconstruct the client's current business processes. You will examine all their current systems, data, records, documents, communication logs, and other artifacts of their business. You will interview all their key staff, managers, and other individuals. You will conduct other investigation as appropriate. And you will ultimately reconstruct in detail the client's current as-is business processes, capturing all appropriate process scenarios, structure, and other inner workings of the business processes. You will then use your business process expertise to improve the client's business processes in a way that will enable a more profitable, efficient, and scalable business. You will craft individualized custom solutions and not be boxed in to any cookie-cutter solutions. You will actually work from root principles to find sub-optimalities and issues in current business processes and then re-engineer the business processes of the client and define the exact desired processes that will need to be implemented to achieve the results goals, and it will be your responsibility to ensure that the desired processes you engineer will actually be able to successfully work in our client's day-to-day business operations. You will then work with our technical team to get a systems solution conceptualized and implemented in a way that will actually implement, enforce, and automate the desired to-be processes in the client's business. While it is the technical team who is responsible for the technical side of the engagement, you will work with them to ensure that the design meets the business needs and enables implementation of the desired business processes. It is your responsibility to ensure that as the systems are built and made ready for implementation, that they meet the needs of implementing the desired processes you defined and will work for the client's day-to-day business. You will then lead the implementation of these processes and systems into the client's actual business operations, and make them the client's new day-to-day reality. You will discover issues during implementation, you will discover the need to refine your improvements, and you will need to follow through on those needs. Ultimately, the actual end-to-end day-to-day resulting operations in the client's business are your responsibility and you will need to work to make sure these processes and systems powering them are refined to achieve the desired results. As our clients evolve their businesses you will need to continue to evolve their processes and systems to power their growth, efficiency, and profitability as time goes on. This is an extremely rigorous and thorough job. A very methodical approach is required to execute it. There is a lot of complicated decision making and responsibility in this job, and while there is a lot of independence offered in the job, there also is a great expectation of responsibility and you will be held to account for results on a frequent and regular basis. This job requires 100% full-time focus and 100% full-time effort. It is impossible to execute this job while doing other things on the side. You should only apply to this job if you are eager to commit to it and to work very hard to deliver exceptional results. Your performance and your career progression within the company will be evaluated by these results and they will not be easy to achieve.

The Visual Storytelling & Messaging Expert serves as the creative engine for executive leadership, bridging the gap between complex technical product narratives and high-impact visual delivery. You are the storyteller of the key messages, transforming abstract strategic initiatives into clear, compelling, and visually resonant narratives for sales, customers, and industry. Visual Narrative Strategy: Translate vision and complex technical roadmaps and messages into cohesive, audience-specific visual experiences. Standardize visual delivery by creating and managing a reusable asset and content library. Partner with your leadership, Executive Communications and Marketing to drive key narratives delivered via speaking engagements and easy to follow assets, ensuring content resonates for internal and external audiences. Streamline creative workflows with leadership to ensure 90%+ on-time delivery and on target messaging for presentations and assets. Messaging Architecture & Stewardship: Serve as the primary steward for messaging, ensuring visual assets and accompanying narratives are in lockstep regarding tone, values, and clarity. Develop and maintain a "Visual Messaging Playbook" that defines how we visualize key concepts across all enablement collateral. Simplify messaging to drive clarity and alignment on company and business organization direction. Executive Creative Collaboration: Act as the strategic creative partner, collaborating across teams as a "whiteboard partner" for rapid brainstorming sessions. Be expert in designing high quality presentations, assets, and imagery; while being able to create art direction for designers or creative agencies when appropriate/ Establish and manage feedback loops that reduce revision cycles Core Competencies & Traits: The "Double-Threat" Skillset: Mastery of both the message (copywriting, narrative arc) and the medium (high-fidelity design in Google Slides, Adobe Creative Suite, Figma). Strong with words and expert and expert at design. Executive Agility: High comfort level with ambiguity and rapid timeline shifts. You thrive when asked to "whiteboard" a concept 24 hours before a major stage event. Translational Intelligence: The ability to take a deeply technical "product-first" slide and pivot it to a "value-first" customer narrative without losing accuracy. Visual Facilitation: Adept at whiteboard and extracting ideas from brainstorming sessions to clear, simple narratives and strong visuals. Minimum Requirements: 10 -15 years experience in messaging, storytelling for software, platform or services business 8+ years in creative and visual design Expert in Google Slides, Adobe Creative Suite, Figma Excellent experience in video editing Strong Relationship builder: Proven track record of building trust across teams to surface Customer Success stories on our latest initiatives In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com .

Amazon is looking for a customer-obsessed Marketing Manager to drive the design and delivery of marketing plans and tactics to increase discovery and engagement of the various categories we offer. Along with owning the category marketing content calendar for the team, you will work with marketing channel partners, lifecycle, Prime and finance teams to orchestrate and deliver integrate marketing campaigns. Your strategic mindset and operational excellence will transform complex, cross-functional initiatives into streamlined, high-impact marketing programs. The successful candidate will have a strong understanding of all aspects of the customer funnel, possess great project management, data analysis, influencing and communication skills, and the ability to stretch from strategic thinking to hands-on-the-tools execution. Key job responsibilities - Customer acquisition and engagement: Design and deliver a range of marketing tactics for multiple categories, including across owned channels like homepage, push notifications and email, and creating multi-touch customer engagement journeys. - Event merchandising: Own the category marketing strategy and execution for sale events of all sizes. Help design customer backwards collections and merchandising that delights customers and drives positive business outcomes. - Marketing channel enablement: Work hand-in-glove with marketing channel owners like Social, Influencers and Associates to help bring to life at scale off-site marketing. Be the conduit between the marketing channels and selection teams, and get hands-on to curate and merchandise selection in support of marketing campaigns – creating a positive and seamless experience for customers between our off-site marketing and the on-site CX. - Reporting and optimization: Drive a process of continual review and inspection of BAU and sale event marketing, identifying opportunities to maximize customer impact, while reducing input effort to activate. Own and deliver a program of experimentation to accelerate learnings, and implement winning strategies. - Customer understanding & Insights: Deep-dive internal and external data to extract actionable customer insight that informs business and marketing plans. - Explore and implement AI tools and other processes to streamline internal marketing efforts and improve operational efficiency. Basic Qualifications - 4+ years of professional non-internship marketing experience - Experience producing marketing promotional material for Owned & Operated channels - Experience using data and metrics to drive improvements - Experience using Microsoft Excel to manipulate and analyze data Preferred Qualifications - Experience building, executing and scaling cross-functional marketing programs - Experience utilizing systems and tools involving email, web, analytics, and CRM (Marketo, Tableau, Salesforce, etc.) for targeting, segmentation, reporting for demand generation Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We Are: Accenture’s SAP practice, and we live to see how this can transform the way we live and work. We bring reinvention to life using design thinking, modern delivery methodologies, embedding AI into the way we deliver and into business processes. Additionally, the Life Sciences Industry is going through remarkable levels of transformation with new therapies that improve lives of patients, new implantable devices that improve health and wellness and much more global supply chains. SAP technologies power these organizations with modern cloud-based and AI-enabled solutions, and Accenture is the undisputed market leader in this industry. We are continuously expanding our SAP team with advisory skills to continue to drive transformation at scale for our clients. You Are: You have a passion for storytelling and for originating, selling and delivering SAP-based Finance Transformation projects that make a positive impact in your clients’ business? Are you inspired by working with the best companies in their industries? Want a role that provides you with a sense of purpose and satisfaction? Then join Accenture and build a rewarding career improving the way the world works and lives, as you help clients innovate with leading-edge SAP and Accenture Finance solutions and technologies on some of the most innovative projects in the world Thrive in our highly collaborative, digitally-driven and innovation-led environment. Nurture your talent for thoughtful and game changing solutions in our inclusive culture that values diversity of ideas, experiences and backgrounds. You are a confident Manager who spots and stays ahead of the SAP platform , industry and Finance trends and knows how to translate client goals into clear and actionable outcomes that everyone can get behind. You know how to fully utilize the capabilities of various SAP platforms to drive business value, transform end-to-end functions and drive leading practices for your clients in markets all over the globe. The more complex their challenges, the more excited you are about leading the charge to solve them. The Work: Team with clients on their SAP functional transformation programs through your combined SAP application and functional process expertise which includes your ability to: Engage with senior client Finance executives on the business challenges/trends and the potential value of SAP solutions (current & future) Lead customers in defining their SAP journey through the development of business cases & roadmaps including during sales origination, proposal development and client presentations Architect e2e Finance solutions that leverage SAP technologies, custom apps, & add on partner solutions Clearly explain SAP’s Business AI strategy, including an understanding of its capabilities and roadmap. Identify functional areas expertise where AI can deliver real value to clients Experience in deployment of AI use cases within SAP delivery to improve efficiency and ability to explain how these AI-driven improvements can enhance project delivery Advise, design and deliver Finance solutions based on the latest industry and technology best practices leveraging a SAP solutions and embedded innovation. Lead large project teams of varying size and scope – helping them achieve transformational roadmaps - onsite with clients or within Accenture Become a trusted expert and advisor to your clients, team, and Accenture Leadership by staying current on regulations, trends, and innovations across your area of expertise Be a thought leader, build assets and best practices and develop the next level of transformation experts Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS Data Centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll interface with a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Infrastructure Operations (Data Center) team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost. Join our innovative team where you'll contribute to maintaining and optimizing critical infrastructure that powers digital experiences for millions of customers worldwide. In this collaborative role, you'll apply your technical expertise while working with diverse teams to ensure the reliability and efficiency of our data center operations. We are a supportive and inclusive team passionate about maintaining world-class data center facilities. Our team values diverse perspectives and fosters an environment where everyone can contribute their unique insights to solve complex challenges. Key job responsibilities - Undertake and support management of both routine maintenance and emergency service of a variety of critical systems such as switch-gear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, fire systems, etc. - Installation of new rack capacity and provisioning of power/cooling - On-site management of contractors and vendors, ensuring that all work performed, is in accordance with established practices, procedures & local legislation - Establish performance benchmarks, conduct analyses and prepare reports and documentation of all aspects of critical facility infrastructure operations and maintenance. Manage the facility’s assets - Generate change management requests & incident management tickets for all facility related events (mechanical, electrical, plumbing) and assist in the resolution of infrastructure engineering and services issues - Collaborate with data center IT managers and other business leaders to coordinate day to day operations, projects, manage capacity, and optimize plant safety, performance, reliability, sustainability, and efficiency - Drive & implement projects to increase current facility capacity, efficiency, sustainability & reliability as well as assist in the design implementation, commissioning and build out of new data center facilities. A day in the life No two days are the same in AWS data centres but, typically, your day will include: - Attending operational meetings to foster awareness of important activities across the Melbourne data centre region - Mentoring and development of less experienced engineering operations technicians - Planning and scheduling of maintenance activities for critical infrastructure - Collaborating on solving complex engineering problems impacting critical infrastructure - Collaboration with other AWS data centre regions globally About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - High school or equivalent diploma Preferred Qualifications - 2+ years of data center engineering experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more while keeping personal data private. We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how personalized search quality is assessed and improved by driving solutions across search quality, data quality, and both offline and online evaluation metrics. You will lead a team focused on evaluating personalized AI search experiences while designing evaluation systems, developing data generation and curation methods, and creating quality metrics frameworks for continuous improvement. Responsibilities Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized search. Design and implement offline and online metrics to assess quality at both the product and component levels, driving continuous improvement. Collaborate with cross-functional teams to define data and evaluation requirements, establish priorities, and identify opportunities to improve search quality. Define the long-term technical vision for personalized search quality, identify gaps, and drive solutions aligned with the broader product roadmap. Minimum Qualifications 6+ years of industry experience building machine learning or machine learning evaluation systems at scale. 2+ years of technical leadership or engineering management experience. Strong knowledge of machine learning fundamentals, neural network architectures, and software engineering using Python or C/C++. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Preferred Qualifications Experience designing and building production machine learning systems for search, natural language processing, recommendation systems, or information retrieval. Experience in data collection, data generation, or data quality assessment involving language, image, or multimodal data. Master's degree or Ph.D. in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $206,200 – $356,400 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies. Equal Opportunity Employer We are committed to creating an inclusive workplace where employment decisions are based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are committed to providing an accessible workplace and recruitment process. Reasonable accommodations are available for qualified applicants throughout the hiring process and employment in accordance with applicable laws.

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply. Software Engineer, Machine Learning RecSys Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding Minimum Qualifications 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale) Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with scripting languages such as Pytorch and TensorFlow Exposure to architectural patterns of large scale software applications Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments Master's degree or PhD in Computer Science or another ML-related field

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We believe this requires real-world deployment, continuous learning, and rapid iteration to improve both safety and utility. The Intelligence & Investigations team supports this mission by identifying, investigating, and disrupting malicious uses of OpenAI products. We work at the intersection of investigations, analytics, policy, engineering, and trust & safety to understand emerging threats, develop scalable detection strategies, and improve platform defenses. Our team combines investigative expertise with technical analysis to uncover novel abuse patterns, inform product and policy decisions, and help build durable safeguards across OpenAI’s products. About the Role As an Abuse Investigator on the Intelligence & Investigations team, you will investigate harmful activity on OpenAI’s platform with a particular focus on violent threats, coordinated abuse, and other high-risk threats to public safety. You will analyze complex datasets, identify abuse signals, conduct investigations, and partner closely with policy, legal, engineering, and integrity teams to drive enforcement actions and improve detection capabilities. This role is highly analytical and requires strong technical and investigation skills. Successful candidates are comfortable working directly with large datasets, using SQL to uncover patterns and trends, and leveraging Python or other tools like Codex to automate workflows, analyze data, and support investigations at scale. You will be expected to combine investigative judgment with data-driven analysis to identify emerging threats and develop proactive mitigation strategies. The role is based in New York City and follows a hybrid in office work model. Investigations may involve sensitive content, including violent, extremist, sexual, or child safety-related material. Candidates should be comfortable operating in high-stakes environments and managing time-sensitive escalations. In This Role, You Will Investigate reports, leads, and escalations involving violent threats, coordinated abuse, and other threats to public safety. Use SQL and Codex to query large datasets, analyze user behavior, identify suspicious activity, and uncover novel abuse patterns. Utilize Python and Codex to automate investigative workflows, process and analyze data, develop abuse detection methodologies, and improve operational efficiency. Develop and refine abuse signals, behavioral indicators, and tracking methodologies that enable scalable detection and enforcement. Partner closely with engineering teams to design and improve internal tooling, data pipelines, reporting capabilities, and investigations. Use metrics to evaluate automated workflow efficiency. Conduct rapid triage and investigation of urgent escalations, exercising sound judgment in ambiguous situations. Communicate investigative findings and recommendations to stakeholders across Policy, Legal, Product, Engineering, and Leadership teams. Translate investigative insights into long-term product, policy, and safety improvements. Contribute to an on-call rotation supporting time-sensitive investigations and threat assessments. You Might Thrive in This Role If You Have 5+ years of experience conducting investigations involving violent actors, terrorism-related activity, trust & safety, law enforcement investigations, intelligence analysis, or related fields (ideally with a public safety component) Possess strong SQL skills and experience using data analysis to support investigations, identify trends, and answer complex investigative questions. Have practical experience using Python for data analysis, workflow automation, investigative tooling, or operational analytics. Have experience developing scalable processes, detection methodologies, or automated approaches to investigations. Can independently work through complex problems and clearly communicate findings and recommendations. Have experience collaborating with technical and non-technical stakeholders in fast-moving environments. Have experience presenting analytical findings through reports, briefings, dashboards, or executive-level communications. Have worked in technology, trust & safety, cybersecurity, intelligence, law enforcement, fraud, risk, or investigative environments. Enjoy training and/or mentoring others on technical tooling and workflows. Preferred Qualifications Experience conducting investigations involving violent threats, online abuse, extremist activity, or other threat actor behavior. Familiarity with data analytics tools and investigative methodologies used in technology, intelligence, or trust & safety environments. Experience partnering with engineering teams to improve detection systems, data quality, or investigative tooling. Understanding of emerging risks associated with AI systems, online platforms, and adversarial actors. Experience developing data-driven approaches to abuse detection and mitigation. At OpenAI, you’ll help protect millions of users by combining investigative expertise, analytical rigor, and technical problem-solving to identify and mitigate some of the most challenging abuse and safety issues facing AI systems today. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $288K – $425K + Offers Equity