Research Internship jobs at IBM - 2567 jobs

San Francisco, California, United States Machine Learning and AI Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating systemic biases and maintain safe and trustworthy experiences across our AI tools and models. Description Our team, part of Apple Services Engineering, is looking for an ML Research Engineer to lead the design and continuous development of automated safety benchmarking methodologies. In this role, you will investigate how media‑related agents behave, develop rigorous evaluation frameworks and techniques, and establish scientific standards for assessing risks they pose and safety performance. This role supports the development of scalable evaluation techniques that ensure our engineers have the right tools to assess candidate models and product features for responsible and safe performance. The capabilities you build will allow for the generation of benchmark datasets and evaluation methodologies for model and application outputs, at scale, to enable engineering teams to translate safety insights into actionable engineering and product improvements. This role blends deep technical expertise with strong analytical judgment to develop tools and capabilities for assessing and improving the behavior of advanced AI/ML models. You will work cross‑functionally with Engineering and Project Managers, Product, and Governance teams to develop a suite of technologies to ensure that AI experiences are reliable, safe, and aligned with human expectations. The successful candidate will take a proactive approach to working independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers, and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks. Responsibilities Design scientifically‑grounded benchmarking methodologies covering multiple dimensions of responsibility and safety across several media and application marketplace use cases Develop automated evaluation pipelines that collect, automatically judge, and analyze model outputs with respect to safety policies, at scale Create and curate datasets, tasks, and feature usage scenarios that represent realistic and adversarial use cases across multiple languages, markets, and domains Define and validate new metrics for complex phenomena such as multi‑turn agentic interaction patterns Apply statistical rigor and reproducibility to above mentioned objectives Work closely with engineering and research teams to translate experimental findings into actionable model improvements and safety mitigations Publish internal reports and external papers Monitor evolving industry practices and academic work to ensure benchmarks remain relevant Minimum Qualifications Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience 1+ years of work experience either as a postdoc or in the industry Strong research background in empirical evaluation, experimental design, or benchmarking Strong proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.) Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems Strong analytical and communication skills, including the ability to write clear reports Technical Skills: Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.). Experience working with large datasets, annotation tools, and model evaluation pipelines Familiarity with evaluations specific to responsible AI and safety, hallucination detection, and/or model alignment concerns Ability to design taxonomies, categorization schemes, and structured labeling frameworks Analytical Strength: Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful insights Communication: Strong ability to stitch together qualitative and quantitative insights into actionable guidance; strong ability to communicate complex architectures and systems to a variety of stakeholders Education in Data Science, Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field Preferred Qualifications Publications in AI/ML evaluation or related fields Experience with automated testing frameworks Experience constructing human‑in‑the‑loop or multi‑turn evaluation setups Intermediate or Advanced Proficiency in Swift Familiarity with RAG systems, reinforcement learning, agentic architectures, and model fine‑tuning Expertise in designing annotation guidelines and validation instruments and techniques Background in human factors, social science, and/or safety assessment methodologies 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 $181,100 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

San Francisco Bay Area, California, United States Machine Learning and AI The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding‑edge research and product‑critical models. This is where the hardest problems in applied ML are being solved. Description The frontier of AI isn't in the cloud anymore. It's in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user's device. At Apple's Siri team, this isn't a research paper-it's our daily work. We are building the next generation of LLMs and deploying them at the largest customer scale in the world. We're looking for engineers who thrive on solving the puzzles that exist at the bleeding edge of hardware, software, and machine learning. This is a full‑stack ML role for those who want to own their work from concept to silicon. Your Playground: Training & Fine‑Tuning: Architect and train LLMs specifically for assistant behavior. This is your opportunity to define what "reasoning" and "task completion" mean for a billion users. Performance & Optimization: Master the art of model surgery. You'll design and implement novel context and adapter strategies to make our models faster and smarter within the tight constraints of on‑device deployment. Data as a Product: You understand that world‑class models are built on world‑class data. You will own the curation, augmentation, and evaluation pipelines that are the lifeblood of our systems. System Architecture: Your insights will shape not just the model, but the entire system. You'll work with cross‑functional experts in software, research, and product to build a cohesive, intelligent experience. We're a team that values velocity and pragmatism. We debate, we build, we measure, and we ship. If you're a builder with elite software engineering skills and a proven passion for pushing the boundaries of applied ML, your work will have a home here. Ready to solve problems that will define the next decade of personal computing? Apply now. Minimum Qualifications Experience with shipping LLM based products Excellent Python engineering skills and knowledge of deep learning frameworks (one of Pytorch, Jax, Tensorflow) Machine Learning Research track record or excellent knowledge of Machine Learning State of the Art Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience Preferred Qualifications Knowledge of Natural Language Processing Experience with Small Language Models Experience with Agentic AI 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

Cupertino, California, United States Software and Services Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products. Description As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems. Minimum Qualifications PhD or MSc in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models or multimodal LLMs Experience with image processing, computer vision, speech recognition, or natural language processing Proven track record of programming, debugging, and design skill Preferred Qualifications Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX Proficiency with Unix, iOS, or mac OS development Excellent problem solving, critical thinking, and interpersonal skills Ability to produce creative and innovative solutions to challenging problems Enthusiastic about building end-to-end experiences using machine learning High-quality communication skills and ability to work through ambiguity 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. #J-18808-Ljbffr

Machine Learning and AI - Cupertino, California, United States 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. Compensation and Benefits 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. Equal Opportunity 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. #J-18808-Ljbffr

A leading tech company in Cupertino is seeking a Machine Learning Research Engineer to enhance Siri's capabilities through innovative AI solutions. This role involves developing systems for synthetic training data and optimizing model performance. The ideal candidate will possess a strong background in machine learning, particularly with large-scale models. Competitive compensation package includes salary range of $147,400 to $272,100, stock options, and comprehensive benefits. #J-18808-Ljbffr

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)

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

Research Associate I Assignment Duration: 12 Months Work Arrangement: Onsite Work Schedule M-F 9 AM-5 PM EST (May require weekend work) HM Notes: Possibility of extension • Local candidates ONLY • References will be requested for finalists • ***Weekend works is required and is occasionally. This is a rotating, schedule 1-4 hours on 1 weekend day and will include a Saturday or Sunday. This will be included in 40 work week and no to exceed 40 hours. Weekend work is pre-planned through end of year; new hire can swap with colleagues if available. • Team of 13 members • No chemicals • No extreme heat or cold • Cell culture media preparation • Ability to lift 10 kg • Free parking onsite • Over 3 years of experience and PHD's considered overqualified • No full gowning requirement • PPE will be provided Must Have Skills: • Bachelor's or master's degree in chemical engineering Biochemical Engineering, Cell Biology, Biochemistry or a related discipline • Experience can include co-op or internships, 6+ months of experience. • Understanding of aseptic technique and principles of mammalian cell culture • Lab operations experience • Understanding of aseptic technique and principles of mammalian cell culture • Some lab mammalian cell culture experience, however, microbial experience is not a match • MS Office, Word, Excel • Quick learner for new techniques and technology • Strong attention to details Preferred Qualifications • Up to 3 years of professional experience, or including internships • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC • Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) • Strong GPA is a plus Description: We are seeking a contract upstream Research Associate to join our Cell Culture Platform group in Cell Culture Development department (CCD-CCP). CCD-CCP is a global business unit responsible for the development of cell culture platforms including media and bioprocess technologies for both fed-batch and perfusion from early and late-stage biologics projects, as well as all upstream CMC development activities for early phase projects (up to Phase II). The candidate will be self-motivated and strongly driven to succeed while demonstrating the ability to function well within a fast-paced and collaborative team-oriented environment. The candidate will also be inquisitive and innovative, exhibiting scientific curiosity and the ability to acquire new skills for fed-batch and perfusion based upstream cell culture processes. This is an exciting opportunity to learn cutting-edge cell culture techniques and develop cell culture subject matter expertise. This role will have significant impacts on early pipeline projects, next generation cell culture process development and manufacturing strategies within the global network. Main Duties & Responsibilities • Require to be on site daily; Weekend work required occasionally. • Plan and execute experiments to optimize upstream cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) • Perform upstream experiments and collaborate with other functional groups to speed Phase I pipeline projects • Contribute to technical reports, experimental protocols, and technical summaries for presentation internally and externally • Participate in the technology transfer of processes into manufacturing facilities • Ensure safety and environmental compliance are maintained in the workplace • Some weekend working may be required for this role Basic Qualifications • Bachelor or Master's degree in Chemical Engineering, Biochemical Engineering, Cell Biology, Biochemistry or a related discipline • Post-education experience ?=3 years • Understanding of aseptic technique and principles of mammalian cell culture • Detailed in lab operations and quick learner for new technologies Preferred Qualifications • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC

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

Immediate need for a talented Research Associate I. This is a 06+ Months Contract opportunity with long-term potential and is located in Framingham, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:26-01448 Pay Range: $34 - $44/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Require to be on site daily; Weekend work required occasionally. Plan and execute experiments to optimize upstream cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Perform upstream experiments and collaborate with other functional groups to speed Phase I pipeline projects Contribute to technical reports, experimental protocols, and technical summaries for presentation internally and externally Participate in the technology transfer of processes into manufacturing facilities Ensure safety and environmental compliance are maintained in the workplace Some weekend working may be required for this role. Key Requirements and Technology Experience: Must have skills: - Understanding of aseptic technique and principles of mammalian cell culture, Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Bachelor or Master's degree in Chemical Engineering, Biochemical Engineering, Cell Biology, Biochemistry or a related discipline Post-education experience ?=3 years Understanding of aseptic technique and principles of mammalian cell culture Detailed in lab operations and quick learner for new technologies. Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors Knowledge of CMC Note- Weekend works is required and is occasionally. This is a rotating, schedule 1-4 hours on 1 weekend day and will include a Saturday or Sunday. This will be included in 40 work week and no to exceed 40 hours. Weekend work is pre-planned through end of year; new hire can swap with colleagues if available. Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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

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

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

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

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

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

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

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

A leading AI research organization is seeking a Research Engineer in San Francisco to drive innovations in decentralized AI. You will design and execute fine-tuning pipelines for large language models, conduct novel research, and collaborate with a global team. Ideal candidates will have strong experience in ML training and a passion for advancing decentralized AI ecosystems. The position offers opportunities to contribute to open-source projects and engage in meaningful AI research. #J-18808-Ljbffr