Research internship jobs in Watsonville, CA - 1,782 jobs

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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

A cutting-edge technology company in California seeks a Site Reliability Storage Engineer to design and operate scalable storage systems for AI research. The ideal candidate will have strong programming skills in Rust or Go, and experience with IaC tools and Kubernetes. This role offers a competitive salary ranging from $180,000 to $440,000 and comprehensive benefits including equity and health insurance. #J-18808-Ljbffr

A leading technology company in San Jose seeks a Sr. Principal Engineer with over 15 years of experience in HDD technologies. The role involves collaborating on innovative storage technology projects, integrating new Head/Media/RW technologies, and ensuring product performance metrics. A Bachelor's in Engineering is required, and advanced degrees are preferred. Strong team collaboration and communication skills are essential. The position offers a competitive salary range of $184,400 - $250,000. #J-18808-Ljbffr

At ASAPP, our mission is simple: deliver the best AI‑powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast‑paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high‑growth startup, we'd love to talk. This is more than a job-it's a journey. We're currently expanding our research team, and looking for an experienced Research Lead specializing in Conversational AI & Speech. In this role, you will work on solving scientific challenges related to Conversational AI to build domain‑specific, real‑world solutions. Your contributions will be through both applying your expertise as an IC, and through your leadership of a team of researchers. You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real‑world applications. What you'll do Lead, mentor and grow a team of research scientists and engineers working on spoken conversational AI research initiatives. Hands‑on Research: Be deeply involved in hands‑on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real‑world applications. Research Leadership: Identify promising applications of AI relevant to ASAPP's core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Collaboration & Advocacy: Work with cross‑functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Documentation & Publication: Document significant experimental results, contribute to publishing peer‑reviewed papers, and participate in patenting innovations. Mentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings. What we're looking for Education: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research. Technical Expertise: Strong research experience in Speech systems and/or Speech LLMs, including practical knowledge of algorithm design, model development, and experimental evaluation. Mentorship & Leadership: Experience leading or managing research teams. You're excited to mentor, coach and develop talent. Hands‑on Contribution: As an individual contributor, you'll be expected to lead experiments, perform hands‑on research, and drive the execution of innovative projects. Enthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways. What we'd like to see Experience building & growing an applied research team in academia or industry. Experience with Spoken Conversational AI applications or Speech LLMs. Experience developing and leading long term research programs. Experience collaborating across functions to productize research, and to improve production systems. A collaborative mindset, eager to share research findings and drive their application across product teams. Experience in a startup environment, with the ability to balance deep research and rapid execution. Compensation $270,000 - $290,000 a year. Compensation is a combination of salary and performance bonus. Separately, you will also receive an equity grant. Equal Opportunity ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at ***************** to obtain assistance. #J-18808-Ljbffr

A private market investing firm seeks a Fund & Co-Investment Research Associate in Palo Alto, CA. This role involves evaluating venture capital and private equity opportunities, engaging with wealth advisors, and ensuring content accuracy on the investment platform. The ideal candidate has 3+ years of experience in VC, private equity, or investment banking, strong communication skills, and a proactive mindset. The position offers competitive compensation, working primarily in-office, with significant growth potential in a fast-paced environment. #J-18808-Ljbffr

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

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)

Ag Metrics Group is seeking an Agricultural Research & Field Operations Lead to direct scientific crop protection research at our Salinas operations. This is a hands-on leadership role for an experienced researcher who can design and execute trials, run high-quality data and report workflows, and build trusted client relationships. This position emphasizes plant pathology and related issues in leafy vegetables and small fruit crops. What you'll do Lead field, greenhouse, and lab studies evaluating crop protection products (foliar, soil, and seed-applied), supporting product development and sustainable agriculture programs. Own trial execution end-to-end: protocol alignment, scheduling, assessments, data integrity, and final technical reporting. Manage and develop the Salinas team across scientific and farming operations, coordinate staffing and daily priorities. Serve as the primary technical point of contact for clients and cooperators, including consultation meetings and on-site representation. Maintain equipment readiness and facility operations to support year-round research throughput. Partner with internal managers to plan seasonal workloads, optimize resources, and deliver high-quality outcomes. What success looks like Trials run on time with clear documentation, strong disease pressure/biological relevance, and dependable data. Clean, organized datasets and reports that clients can confidently use for decision-making. Professional, proactive communication that strengthens long-term partnerships. A well-led station team operating safely, efficiently, and with scientific rigor. What you bring Required Skills/Abilities: Demonstrated ability to work across fields, greenhouses, and laboratory environments. Strong leadership, organizational, and time-management skills. Excellent written and verbal communication, including presenting technical findings to clients. Proficiency with ARM and Microsoft Office (or comparable tools). Strong analytical and critical thinking skills. Education and Experience M.S. or Ph.D. in Plant Pathology, Biology, Crop Protection, or related agricultural discipline. 5+ years of agricultural research experience, including field trial execution. Experience in pesticide efficacy research, disease management, and crop pest biology. Technical report writing and data-driven interpretation of results. Bonus: pathogen isolation, culture collection management, and media preparation. Other Requirements Ability to work outdoors in variable and extreme weather conditions. Ability to lift up to 50 lbs. Regularly. Willingness to travel 20-50%, including occasional short-term assignments (up to 6 months on location). Candidates must be authorized to work in the United States on a full-time basis without current or future employer sponsorship. We do not offer employment visa sponsorship for this position. Job Type: Full-time Pay: $75,000- $85,000 a year Benefits: 401(k) Cell phone reimbursement Dental insurance Employee assistance program Health insurance Life insurance Paid time off Referral program Why this role You will have real ownership of a major research site and the opportunity to influence how trials are planned, executed, and communicated-while working directly with clients who rely on objective, high-quality data. To apply: Submit your LinkedIn application with a resume in PDF format and not in Word (and optional cover note) highlighting your trial leadership experience, crops/systems you've worked in, and examples of technical reporting or client-facing work.

A leading tech company invites applications for a Machine Learning Engineer to advance AI research in California. The role focuses on Generative AI and requires a PhD or Master's degree, with a minimum of 3 publications in AI. The candidate will collaborate across teams and publish findings, contributing to networking solutions and AI innovations. This full-time position offers a competitive salary and benefits, fostering an inclusive workplace culture. #J-18808-Ljbffr

A leading transport technology company based in Sunnyvale, CA is seeking an experienced ML Engineer to drive research for next-generation autonomous systems. The ideal candidate will collaborate with engineering teams, work on innovative research problems, and publish papers in top conferences. Required qualifications include a degree in a relevant field and proficiency in programming languages. This role offers a competitive salary and participation in Uber's bonus program, with expectations for in-office collaboration. #J-18808-Ljbffr

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. We strive for excellence in all we do, solving some of the hardest problems in robotics with the world's most talented individuals. Every part of our robots is designed and produced in-house-from motor coils to AI-reflecting our vertically integrated approach. At 1X, you'll own real projects, be recognized for your achievements, and rewarded based on merit. Why this job is exciting Join the NEXT team shaping the foundations of the future humanoid robot Tackle unsolved challenges like human-level walking, dexterous manipulation, and embodied perception Push the boundaries of research into practical, buildable solutions-fast Responsibilities Research, design, and prototype fundamental humanoid technologies including actuation systems, robotic joints, and structural components Model and simulate systems to evaluate performance and feasibility Design experiments and analyze results to validate hypotheses and inform engineering tradeoffs Build and iterate on physical prototypes using machining, rapid fabrication, and embedded systems Evaluate academic research and patents for technical inspiration and practical application Distill high-concept ideas into actionable engineering workstreams Collaborate closely with other domain experts to bridge theory and application Requirements Strong grasp of core engineering principles including math, mechanics, and materials Experience designing actuation systems-motors, drivetrains, joints, structures Background in Mechanical Engineering, Electrical Engineering, Physics, or similar Demonstrated ability to go full-stack in R&D: from concept to prototype to evaluation Skilled at assessing feasibility and filtering high-potential ideas from theoretical noise Nice-to-haves Passion for building, tinkering, or technical exploration-professional or personal Portfolio of personal or professional projects you've designed and built Experience developing novel systems from scratch-not just incremental improvements Interest in human biomechanics or the nervous system as it relates to robotics Strong communication skills and ability to present bold technical concepts Appreciation for historical inventors and scientific pioneers PhD in a relevant technical field Location Policy We believe the best work is done when collaborating and therefore require in-person presence in our office locations. Not sure if this is you? If you're excited about 1X and this role but not sure if you qualify, apply anyway! You may be the right candidate for this or other roles. 1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class. If you have a disability or special need that requires accommodation, please let us know. We will do our best to accommodate your needs. We're excited to get to know you and the prospect of having you on board! #J-18808-Ljbffr

A technology firm specializing in integrated task systems seeks a Machine Learning Researcher / ML-Ops Engineer to advance computer vision and sensor fusion capabilities. The role involves implementing machine learning pipelines and optimizing models for deployment. Candidates should have a strong Python background and experience in deep learning frameworks like PyTorch and TensorFlow. This position in Palo Alto, California, offers competitive compensation and a collaborative work environment. #J-18808-Ljbffr

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system. At the same time, we're building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross-functional team, you'll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most. As a Machine Learning Research Engineer, you will work on the software and algorithms that enable our robots to complete dexterous manipulation tasks in home environments. You will leverage our unique large-scale in-the-wild data collection operation and our growing robot fleet to continuously add new behaviors and improve robustness across tasks and environments. What You'll Do Design and develop state-of-the-art robot learning algorithms for manipulation and controls Leverage large-scale in-the-wild data collection to develop generalizable robot behaviors Own the end-to-end loop from task definition and data curation to model training, evaluation, and on-robot deployment Collaborate closely with a full-stack robotics team to develop a consumer personal robot Write maintainable, production quality code for research and deployment What You'll Bring 3+ years (or equivalent) working on machine learning for robotics, controls, or perception Proficiency with Python and any deep learning framework (PyTorch preferred) Hands-on experience with robot learning for real-world tasks, including offline/online training and evaluation Implement tooling for visualization, debugging, and evaluation of data and learning pipelines Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams Nice to Have Familiarity with classical robotics fundamentals (e.g. controls, planning, state estimation) Comfortable profiling and optimizing for latency, memory, and compute on edge devices Experience with large-scale model training pipelines (LLM/VLM/VLA) At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent. #J-18808-Ljbffr

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

A cutting-edge technology firm in Palo Alto is seeking a Video Generative AI Research Scientist / Engineer. In this role, you will lead the design and training of advanced generative models for video and collaborate closely with teams to bring innovative interactive experiences to life. Requirements include a PhD in Computer Science or related field, strong experience in generative modeling, and proficiency in ML frameworks. Competitive salary and equity offered. #J-18808-Ljbffr

About the Role Our client - one of the most ambitious AI research labs is hiring ML Research Scientists, Cheminformatics! With offices based in California and New York, this team is unlocking groundbreaking therapies for patients with severe diseases. They work at the intersection of machine learning, physics, and computational chemistry to advance the development of small molecule drug discovery. Backed by top investors and founded by ex-Google/Stanford Scientists, they are scaling their Cheminformatics team. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs - Google/Meta/OpenAI/Stanford/Harvard/MIT Massive Compute - Unparalleled access to cutting-edge infrastructure Research - this is about making fundamental advances in deep learning, representation learning, and generative models. Developing SOTA models within active drug programs, taking the lead on model validation, deployment to drive the discovery of new medicines Real-World Impact - Your work won't sit in a paper; it will be deployed in groundbreaking AI systems Who We're Looking For: We're seeking top-tier ML research scientists, Cheminformatics with a strong track record of applying machine learning methods to advance small molecule drug discovery. Your Responsibilities: Cheminformatics expert skilled in molecular data and tools like RDKit and OpenEye. Experienced in experimental drug discovery assays and CADD workflows, from docking to ADME prediction. Proficient data scientist and applied ML engineer, fluent in Python, scikit-learn, and PyTorch. What We're Looking For: PhD in Cheminformatics, Computational Chemistry, Computer Science Expert in advanced modelling techniques, including GNNs, multitask modelling, active learning, and Bayesian optimisation. Experienced in large-scale data management, SQL, data pipelines, and robust approaches to molecule featurisation and model validation. Locations: San Francisco, New York City Package: Salary up to $350,000K + benefits and equity options. Ready to shape the future of AI? Apply now and join a team redefining intelligence.

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!