Research Internship jobs at Slack - 1508 jobs

Senior Research Operations Lead
Slack 4.6
Research internship job at Slack
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category User Experience Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Delivering on Slack's mission to make our users' lives simpler, more pleasant, and more productive requires us to relentlessly obsess about the Slack UX. The most direct way to get a signal on this is to talk to as many users as possible. This position's primary responsibility will be to make it easier than ever to connect directly with Slack users (both current and prospective). They will focus on identifying and reaching out to Slack customers willing to share their experiences and perspectives with our PDE and research teams. This will catalyze our ability to connect directly with customers, ensure we're thoughtfully addressing our users' biggest pain points, and ultimately enable us to increase customer sentiment as measured by NPS (PDE Method M5). About the Role: We are looking for a Recruiting Lead to identify, engage, and recruit high-quality participants for user research studies. You will be the bridge between our research team and the diverse voices that shape our products, ensuring we hear from the right people at the right time. You will play a critical role in building a sustainable and diverse pipeline of Slack users to fuel our research engine. Responsibilities: Strategic Sourcing: Source and recruit participants for qualitative and quantitative research studies, including interviews, usability tests, surveys, and focus groups. End-to-End Execution: Manage the full recruitment lifecycle: outreach, screening, scheduling, confirmation, and follow-up. Panel Management: Build and maintain a diverse panel of research participants across various demographics, personas, and customer segments. System Building: Develop and manage tracking systems to ensure data quality, participant history (to prevent over-sampling), and privacy compliance. Stakeholder Partnership: Partner with researchers to understand specific study requirements and develop tailored recruitment strategies. Vendor Management: Engage and manage external recruitment vendors to ensure high-quality recruits and operational excellence. Technical Optimization: Identify opportunities to automate manual recruiting workflows to reduce the time-to-recruit for the research team. Requirements: Experience: 5+ years of recruiting experience, specifically focused on research operations, user research, or customer insights. B2B Savvy: Experience navigating the complexities of recruiting in a B2B/Enterprise environment (e.g., reaching IT Admins and decision-makers). Organizational Excellence: Strong skills in managing multiple high-priority recruitment projects simultaneously with meticulous follow-through. Communication: Excellent written and verbal communication skills with a focus on “being a great host”-ensuring every user has a pleasant experience with Slack Research. Technical Proficiency: Familiarity with research recruiting tools and CRM systems (e.g., Ethnio, UserInterviews, Salesforce, or Qualtrics). Inclusivity Mindset: A deep commitment to building diverse and inclusive participant pools. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. 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: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
$178.9k-246k yearly Auto-Apply 7d ago

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Head of UX Design & Research - Lead High-Impact B2B UX
Samsung Electronics PerÚ 4.6
Mountain View, CA jobs
A leading technology company is seeking a Head of Product Design and UX to lead a dynamic team in Mountain View, CA. The ideal candidate will have over 15 years of experience in design and UX, including managing large teams in B2B advertising. This role offers a competitive salary between $280,000 and $300,000, plus a comprehensive benefits package including health insurance and tuition assistance. #J-18808-Ljbffr
$280k-300k yearly 2d ago
Senior Quantitative UX Research Lead
Apple Inc. 4.8
Sunnyvale, CA jobs
A leading technology company in California is seeking a Quantitative User Research Expert to drive user research for customer support experiences. Candidates should have extensive experience in mixed-method research and data analysis, with strong survey design skills. The role involves collaboration with various teams to gather insights and improve digital support tools. An innovative mindset and proficiency in analytics tools are essential. #J-18808-Ljbffr
$189k-263k yearly est. 19h ago
Multimodal ML Research Engineer (LLMs & AI Agents)
Apple Inc. 4.8
Cupertino, CA jobs
A leading technology company in Cupertino is seeking mid-level and junior researchers in machine learning. The role involves innovative research on Multimodal LLMs and AI Agents, collaboration with experts, and the possibility of publishing results. A PhD or MS in Computer Science or Engineering is required, alongside strong expertise in machine learning. Competitive compensation package includes base pay between $181,100 and $318,400, and a full range of benefits including stock options and educational reimbursement. #J-18808-Ljbffr
$181.1k-318.4k yearly 4d ago
Generative AI ML Research Engineer
Apple Inc. 4.8
Cupertino, CA jobs
A leading technology company in Cupertino, California, is seeking a Machine Learning Research Engineer focused on generative AI. Ideal candidates will have a PhD or MSc in Computer Science or a closely related field, along with industry experience in building machine learning product features. The role involves innovative problem solving using modern machine learning methods, with responsibilities covering the entire development cycle. Competitive salary ranging from $147,400 to $272,100, along with significant employee benefits. #J-18808-Ljbffr
$147.4k-272.1k yearly 19h ago
Machine Learning Research Engineer, Siri Core Modeling
Apple Inc. 4.8
Cupertino, CA jobs
Cupertino, California, United States Machine Learning and AI The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done - just by asking. Description As a machine learning engineer at Siri, you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users. Responsibilities As a member of this team, the successful candidate will: Develop novel ML/DL models including LLMs for natural language understanding and generation, especially under computation and resource limitations. Work with software and platform engineers to ship LLMs in production. Diagnose model errors and perform accuracy hill climbing for AI assistants. Context engineering for LLMs Minimum Qualifications Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding. Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills Ph.D. or M.S. degree in related fields Preferred Qualifications 3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc. Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs). Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr
$147.4k-272.1k yearly 2d ago
Machine Learning Research Engineer, SIML - ISE
Apple Inc. 4.8
Cupertino, CA jobs
Cupertino, California, United States Machine Learning and AI Join the team building the next generation of Apple Intelligence! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer in the domain of multi-modal perception and reasoning. This is an opportunity to work at the core of Apple Intelligence, working across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem. This role requires experience in vision-language models, and ability to fine‑tune/adapt/distill multi-modal LLMs. You will be part of a fast‑paced, impact‑driven Applied Research organization working on cutting‑edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more! SELECTED REFERENCES TO OUR TEAM'S WORK ******************************************************************************* Description As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision‑Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with experienced researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user‑facing features across billions of devices. Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning. Innovate robust algorithms that integrate visual and language data for comprehensive understanding. Collaborate closely with cross‑functional teams to translate product requirements into effective ML solutions. Conduct hands‑on experimentation, model training, and performance analysis. Communicate research outcomes effectively to technical and non‑technical stakeholders, providing actionable insights. Stay current with emerging methods in VLMs, MLLMs, and related areas. Minimum Qualifications Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field - or relevant industry experience. Proficiency in Python and deep learning frameworks such as PyTorch, or equivalent. Practical experience with training and evaluating neural networks. Familiarity with multimodal learning, vision‑language models, or large language models. Strong problem‑solving skills and ability to work in a collaborative, product‑focused environment. Ability to communicate technical results clearly and concisely. Preferred Qualifications Proven track record of research contributions demonstrated through publications in top‑tier conferences and journals. Background in multi‑modal reasoning, VLM, and MLLM research with impactful software projects. Solid understanding of natural language processing (NLP) and computer vision fundamentals. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr
$147.4k-272.1k yearly 4d ago
Research Analyst
OSI Engineering 4.6
Cupertino, CA jobs
A globally leading consumer device company headquartered in Cupertino, CA is looking for Employee Listening Research Analyst to join their People Analytics Research team which helps senior leaders understand the employee experience, and connect that understanding to meaningful action. This close-knit, highly productive team is looking for research management support for their upcoming employee engagement surveys. The ideal candidate will have deep experience with employee surveys in medium-to-large sized organizations, and be comfortable working in a fast-paced, hands-on environment. This individual should have strong analytical, survey operations, and project management skills to handle a variety of survey program activities. Job Responsibilities: • Work with our team to deliver company's employee engagement surveys, and generate insights that directly influence the employee experience. • Support survey operations, including managing survey invitations and reporting access, as well as quality control and testing of online survey and reporting portal. • Provide user help to People Business Partners, employees, and other teams through various support channels (e.g., Slack, email, case management). • Partner with Senior Research Managers to analyze survey results (both scaled items and open text) to identify insights related to employee sentiment. • Contribute to the development of new survey methodologies and research initiatives. • Create reporting materials using Keynote, Pages, and other tools to share with leaders, partners, and key stakeholders. • Review reports to ensure data accuracy and quality. Candidate Requirements: • Degree in organizational psychology/social sciences; statistics/economics; or business administration OR equivalent experience • 3-5+ years relevant experience with employee surveys or HR analytics, ideally with a focus on employee engagement. • Experience supporting employee surveys end-to-end - working with cross-functional teams and vendors to manage survey fielding, as well as analyzing results (e.g., descriptive and inferential statistics, correlation, qualitative analysis) to identify key trends and actionable insights, and creating reports to a wide audience of leaders and key stakeholders. • Excellent organizational skills, acute attention to detail, and ability to balance multiple tasks. • Strong data visualization skills (creating charts, tables, and slides). • Excellent interpersonal skills and ability to work effectively across teams. • Understanding of data privacy principles in survey research. • Proficiency with analytics and visualization platforms (e.g., R, SPSS, Tableau, or similar) • Experience with survey platforms (Medallia preferred) • Experience with project management tools (Wrike preferred) • Experience with PowerPoint or Keynote (preferred), Excel, and collaboration tools (e.g., Box, Quip) Type: Contract Duration: 12 months with extension Work Location: Cupertino, CA Pay Range: $42.00 - $57.00 (Cupertino)
$42-57 hourly 3d ago
MT Research Engineer: Advanced NLP & Translation
Apple Inc. 4.8
Cupertino, CA jobs
A leading technology company is looking for a Machine Learning Research Engineer in Cupertino. The role involves developing advanced Machine Translation technology and requires 3+ years of experience in machine learning and NLP. Candidates should be skilled in tools like JAX, PyTorch, and Tensorflow. This position offers a competitive salary ranging from $147,400 to $220,900, alongside various benefits, including stock options and educational reimbursement. #J-18808-Ljbffr
$147.4k-220.9k yearly 19h ago
Research Engineer - ML / Systems
Epsilon 4.2
San Francisco, CA jobs
About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Engineer to bridge the gap between research and production, building ML infrastructure and data systems for medical imaging at scale. You'll own critical data pipelines that unify live production traffic with offline datasets, design storage solutions for multimodal medical data, and build training + inference infrastructure that enables our research team to iterate rapidly. This role requires someone who can move fluidly between model training, data engineering, ML systems, and production deployment. Key Responsibilities Build and optimize distributed ML infrastructure for training foundation models on large‑scale medical imaging datasets. Design and implement robust data pipelines to collect, process, and store large‑scale multimodal medical imaging data from both production traffic and offline sources. Build centralized data storage solutions with standardized formats (e.g., protobufs) that enable efficient retrieval and training across the organization. Create model inference pipelines and evaluation frameworks that work seamlessly across research experimentation and production deployment. Collaborate with researchers to rapidly prototype new ideas and translate them into production‑ready code. Own end‑to‑end delivery of ML systems from experimentation through deployment and monitoring. Qualifications 3+ years building ML infrastructure, data pipelines, or ML systems in production. Strong Python skills and expertise in PyTorch or JAX. Hands‑on experience with data pipeline technologies (e.g., Spark, Airflow, BigQuery, Snowflake, Databricks, Chalk) and schema design. Experience with distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes). Track record of building scalable data systems and shipping production ML infrastructure. Ability to move quickly and handle competing priorities in a fast‑paced environment. Preferred Qualifications Experience with medical imaging formats (DICOM) and healthcare data standards. Background in distributed training frameworks (PyTorch Lightning, DeepSpeed, Accelerate). Familiarity with MLOps practices and model deployment pipelines. Experience with privacy‑preserving data systems and HIPAA compliance. Contributions to open‑source ML or data infrastructure projects. #J-18808-Ljbffr
$124k-168k yearly est. 4d ago
ML Research Engineer - On-Device LLMs & NLU
Apple Inc. 4.8
Cupertino, CA jobs
A leading technology company in Cupertino is seeking a Machine Learning Engineer to develop advanced AI and natural language processing systems. The ideal candidate has a strong background in deep learning, substantial programming skills, and experience with large models. This role is critical to enhancing user interactions with Siri and offers competitive compensation packages including benefits and stock options. #J-18808-Ljbffr
$151k-193k yearly est. 3d ago
Multilingual ML Research Engineer - Translation & LLMs
Apple Inc. 4.8
San Francisco, CA jobs
A leading technology company in San Francisco is seeking an AI/ML - Machine Learning Research Engineer to contribute to advanced machine translation technologies. The ideal candidate has extensive experience in machine learning and natural language processing, particularly with large language models. This role offers competitive compensation and opportunities for career growth, along with comprehensive benefits, including medical coverage and educational reimbursement. #J-18808-Ljbffr
$151k-193k yearly est. 2d ago
Research Engineer
Factory 4.7
San Francisco, CA jobs
Factory is seeking innovative AI Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations. What you will do and achieve: Design, develop, and deploy AI-driven agentic systems that enhance Factory's core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture. Collaborate with product and engineering teams to incorporate emerging AI research findings into practical, customer-centric solutions. Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises Take the initiative in identifying and addressing product stability and scalability challenges, ensuring our platform reliably support large-scale operational demands Qualifications: 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field. Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas. Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment. Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation. Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory. The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain). #J-18808-Ljbffr
$123k-167k yearly est. 19h ago
Research Engineer, Frontier AI Evaluations in Finance
Openai 4.2
San Francisco, CA jobs
A leading AI research firm in San Francisco seeks a Research Engineer to evaluate model capabilities in finance. The candidate should possess strong analytical skills, be detail-oriented, and thrive in a dynamic environment. Responsibilities include identifying significant financial workflows and refining AI evaluations. A passion for AGI/ASI measurement and proficiency in Excel are essential. Join us to contribute to advancing AI technology responsibly. #J-18808-Ljbffr
$124k-173k yearly est. 1d ago
Research Engineer: AI Safety & Trust Systems
Openai 4.2
San Francisco, CA jobs
An established industry player is seeking innovative Research Engineers to enhance AI safety and reliability. In this pivotal role, you will design and implement cutting-edge machine learning models, ensuring they align with human values and safety standards. Collaborating with a diverse team of experts, you'll tackle complex challenges and optimize AI systems for real-world deployment. This is your chance to make a meaningful impact on how AI benefits society while staying at the forefront of technological advancements. If you're passionate about AI safety and eager to contribute to transformative projects, this opportunity is for you. #J-18808-Ljbffr
$124k-173k yearly est. 2d ago
Research Engineer, Notifcations
Openai 4.2
San Francisco, CA jobs
About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for a Machine Learning Engineer to join our Notifications team, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users-surfacing the right content, at the right time, through the right channel. You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build end-to-end ranking and recommendation systems for notifications, from modeling to evaluation and deployment. Apply and adapt LLMs to ranking problems, including prompt-based approaches and fine-tuning. Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams. Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems. Build robust offline and online evaluations to measure system improvements and user outcomes. Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems. You might thrive in this role if you: Have hands-on experience building and deploying ranking, recommendation, or personalization systems at scale. Have a deep understanding of machine learning and its applications, with exposure to LLMs and their integration into product experiences. Are experienced in experimentation, A/B testing, and analyzing impact on user behavior and business metrics. Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues. Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions. Have strong product intuition and can balance modeling sophistication with product impact. 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. OpenAI's Affinity 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. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via 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. #J-18808-Ljbffr
$124k-173k yearly est. 3d ago
Research Engineer, Frontier Evals & Environments - Finance
Openai 4.2
San Francisco, CA jobs
The Frontier Evals team builds north star model evaluations to drive progress towards safe AGI/ASI. This team builds ambitious evaluations to measure and steer our models, and creates self-improvement loops to steer our training, safety, and launch decisions. Some of the team's open-sourced evaluations include SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer, and the team built and ran frontier evaluations for GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you. About you We seek exceptional research engineers that can push the boundaries of our frontier models in the finance domain. We are looking for those who will help shape AI evaluations of financial reasoning and related capabilities, and will own individual threads within this endeavor end-to-end. Responsibilities Identify important model capabilities, skills, and behaviors that are crucial to financial workflows, and design methods to quantify performance in these areas Own and pursue a research agenda to identify an important model capability (especially as it relates to financial reasoning) and build evals to measure it Continuously refine evaluations of frontier AI models to assess the extent of frontier capabilities Requirements Have strong engineering and statistical analysis skills (with at least 2-3 years of full-time technical experience) Be passionate about Excel spreadsheets and/or finance Be detail-oriented and thorough Be a team player / willing to do a variety of tasks to move the team forward Be passionate and knowledgeable about AGI/ASI measurement Be able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end Nice to have Prior background / domain expertise in finance, especially investment banking or private equity (e.g., through internships, prior jobs) An ability to work cross-functional Excellent communication skills 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. #J-18808-Ljbffr
$124k-173k yearly est. 1d ago
Research Engineer, Codex
Openai 4.2
San Francisco, CA jobs
The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure-owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a member of the Codex team, you will advance the capabilities, performance, and reliability of AI coding models through a combination of research, experimentation, and system optimization. You'll collaborate with world-class researchers and engineers to develop and deploy systems that help millions of users write better code, faster-while also ensuring these systems are efficient, cost-effective, and production-ready. We're looking for people who combine deep curiosity, strong technical fundamentals, and a bias toward impact. Whether your strengths lie in ML research, systems engineering, or performance optimization, you'll play a pivotal role in pushing the state of the art and bringing these advances into the hands of real users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you might: Design and run experiments to improve code generation, reasoning, and agentic behavior in Codex models. Develop research insights into model training, alignment, and evaluation. Hunt down and address inefficiencies across the Codex system stack-from agent behavior to LLM inference to container orchestration-and land high-leverage performance improvements. Build tooling to measure, profile, and optimize system performance at scale. Work across the stack to prototype new capabilities, debug complex issues, and ship improvements to production. You might thrive in this role if you: Are excited to explore and push the boundaries of large language models, especially in the domain of software reasoning and code generation. Have strong software engineering skills and enjoy quickly turning ideas into working prototypes. Think holistically about performance, balancing speed, cost, and user experience. Bring creativity and rigor to open-ended research problems and thrive in highly iterative, ambiguous environments. Have experience operating across both ML systems and cloud infrastructure. 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 . 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. #J-18808-Ljbffr
$124k-173k yearly est. 1d ago
LLM Architecture Research Engineer
Openai 4.2
San Francisco, CA jobs
A leading AI research company in San Francisco seeks a talented architecture team member to enhance its flagship models. Ideal candidates will have a strong understanding of LLM architectures and experience with deep learning. The role offers a hybrid work model of 3 days in the office, alongside relocation assistance. This position presents an exciting opportunity to contribute to groundbreaking AI advancements. #J-18808-Ljbffr
$124k-173k yearly est. 4d ago
Research Engineer, Privacy
Openai 4.2
San Francisco, CA jobs
About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks-balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting‑edge privacy techniques accessible to engineering and research teams. Lead deep‑drive investigations into the privacy-performance trade‑offs of large models, publishing insights that inform model‑training and product‑safety decisions. Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle-from dataset curation to post‑deployment monitoring. Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: Have hands‑on research or production experience with PETs. Are fluent in modern deep‑learning stacks (PyTorch/JAX) and comfortable turning cutting‑edge papers into reliable, well‑tested code. Enjoy stress‑testing models-probing them for private data leakage-and can explain complex attack vectors to non‑experts with clarity. Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real‑world systems. Thrive in fast‑moving, cross‑disciplinary environments where you alternate between open‑ended research and shipping production features under tight deadlines. Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. 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 U.S.‑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. #J-18808-Ljbffr
$124k-173k yearly est. 2d ago