Senior AI Engineer
Raydar · San Francisco, US· Hybrid · Full-time · Senior
Machine Learning Engineer
Raydar · San Francisco, US· Hybrid · Full-time
Product Management Director
Wolters Kluwer · New York City, US· Senior
Research Scientist
True Talent Solutions Partners · San Francisco, US· On-site · Full-time · MidVisa
Cybersecurity Data Scientist
Impact Advisors · Remote, US· Remote · Mid
Research Scientist Intern, Synthetic Data for Computer Use Agents (PhD)
Meta · Menlo Park, USOn-site · Internship · Intern
AI Scientist Intern - (Internship, Masters or Phd)
Mistral · Paris, France+3 more On-site · Internship · Intern
AI Scientist Intern - (Internship, Masters or Phd)
Mistral · Palo Alto, US+1 more On-site · Internship · Entry
Software Expert - GenAI & Experience
Mercadolibre · Buenos Aires, ArgentinaHybrid
Senior AI Engineer
EnableComp · Remote, USRemote · Senior
+10K new in the last hour
Raydar · Posted Nov 4, 2026
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Design and build the software layer that lets language models carry multi-step tasks to completion, covering tooling, context, state and feedback.
Base salary: USD 200,000 to 250,000 per year
Build the scaffolding that gives language models tools, context and execution environments to finish multi-step tasks. Define how automated agents plan, act, track state, recover from errors and pass work back to people. Prototype new AI-driven features, test them on real user problems and move the strongest into production. Create evaluation suites that score task completion and decision quality, and turn production failures into repeatable test cases. Diagnose faults across the whole stack, from the instructions given to a model through its tool connections and workflow sequencing. Computer science degree Nice to have: computer science degree from a top 50 US university Nice to have: familiarity with agents that run for extended periods Nice to have: exposure to agents that write code, operate web browsers or desktops Nice to have: creating test frameworks Raydar · Posted Nov 4, 2026
Build and evaluate machine learning systems for an interactive consumer product, spanning research and production.
Base salary: $165K - $230K
Help set the goals and measures of impact for AI features in the product. Own AI systems end to end, from spotting opportunities to building evaluation tooling and shipping production improvements. Partner with learning specialists and product engineers to build infrastructure that measures quality, engagement, safety, latency and behavior. Design and refine the orchestration layer that decides an interactive assistant's next step and when it should step in. Build user modeling and adaptation systems that tailor decisions to each user's progress, gaps and engagement patterns. An undergraduate degree in computer science, electrical engineering and computer science, or an equivalent engineering subject. Nice to have: Consumer-facing AI Nice to have: Tuning large language models Nice to have: Speech tasks Wolters Kluwer · Posted Nov 5, 2026
Lead product strategy and execution for Health Research Segment, driving AI-enabled product development and cross-functional alignment.
$181,900.00 - $325,050.00 USD
Define product vision and roadmap Translate market and customer insights into strategy Lead cross-functional teams and stakeholder alignment Drive AI-enabled product development Measure and report product outcomes True Talent Solutions Partners · Posted Nov 8, 2026
Visa sponsorship Developing benchmarks and evaluation methods for advanced language models to help AI labs and enterprise teams understand model capabilities.
Base salary: $150,000 to $200,000 annually.
Evaluate newly released AI models across a range of capabilities and use cases. Build benchmarks from the ground up, including dataset development, labeler coordination, and research publication. Develop scalable and accurate methods for automatically evaluating generated text. Work with engineering teams to implement evaluation methods in production systems. Collaborate with AI labs and enterprise customers to translate evaluation needs into research initiatives. computer science machine learning master's PhD bachelor's degree Impact Advisors · Posted Nov 6, 2026
Founding role building a security product for health systems, focusing on behavioral modeling at scale and anomaly detection.
salary range of $95,000-180,000
Profile unfamiliar data, assess what it supports, and establish baselines for users, roles, devices and systems Develop detection and scoring approaches using methods such as peer group comparison, clustering, classification, outlier detection and time series Tune models against production data, reduce false positives without loss of coverage, and maintain performance as underlying systems change Define evaluation criteria, measurement methods and drift detection Build the data path supporting the models, from ingestion and normalization through to reliably computed features Bachelor's degree or higher in engineering, mathematics, statistics or computer science Nice to have: cyber security Nice to have: fraud Nice to have: abuse Nice to have: payments risk Meta · Posted Nov 5, 2026
Research Scientist Intern focused on synthetic data generation for AI agents
Research methods for generating diverse, challenging reinforcement learning tasks Develop ways to measure and control task difficulty Evaluate agent performance and distinguish reasoning failures from problems in tasks or environments Build reproducible experiments and communicate findings and limitations PhD in computer science or related field Mistral · Posted Nov 6, 2026
You will be working with the fine tuning team on making state-of-the-art generative models.
Paris, Île-de-France, France London, London, United Kingdom Zurich, Zurich, Switzerland Warsaw, Masovian, Poland Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists. Assist in the design and implementation of machine learning models and algorithms. Conduct research on the latest advancements in natural language processing and LLMs. Mistral · Posted Mar 5, 2026
You will be working with the fine tuning team on making state-of-the-art generative models and running autonomous work streams under the supervision of experienced scientists.
Palo Alto, California, United States Montreal, Quebec, Canada Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists. Assist in the design and implementation of machine learning models and algorithms. Conduct research on the latest advancements in natural language processing and LLMs. Contribute to the development and optimization of our LLM systems. Collaborate with cross-functional teams to integrate LLM technologies into various applications. Currently doing a Master or PhD at a tier 1 engineering schools / Universities Nice to have: experience in fine tuning LLMs Nice to have: experience used complex HPC infrastructure with full autonomy Mercadolibre · Posted Nov 3, 2026
Lead development of AI solutions and platforms that enhance productivity of teams and enable higher quality digital experiences Analyze open problems, define context and scope, design and implement end-to-end solutions, and measure results with indicators Deepen code, architecture, and data when required, and connect needs of different teams into scalable, reusable platform capabilities Incorporate AI agents, programming agents, language models, and automation into daily work, share learnings, and promote adoption within the area Prioritize initiatives with autonomy, deliver early advances, iterate based on metrics, and communicate results EnableComp · Posted Nov 3, 2026
Senior AI Engineer
Work with domain experts to capture specialized knowledge and represent it in structured, usable form. Analyze source material and datasets for quality, consistency, and coverage, and resolve issues with the appropriate stakeholders. Perform exploratory and statistical analysis to inform data, modeling, and evaluation decisions. Create and curate training and evaluation datasets, using both automated and human validation. Design reinforcement learning environments, reward functions, and verifiers. Bachelor’s degree in computer science, machine learning, statistics, or a related field; MS or PhD preferred Nice to have: Experience building and evaluating LLM-based agents or multi-turn systems Nice to have: Experience designing evaluations for language models Nice to have: Experience training models to produce structured or schema-constrained output Nice to have: Experience with a broad range of reinforcement learning algorithms and advanced reward design Paid time off and holidays Medical, dental and vision coverage
Medical Dental Vision 401(k) FSA/HSA
Contribute to the development and optimization of our LLM systems.
Collaborate with cross-functional teams to integrate LLM technologies into various applications. Master PhD Nice to have: fine tuning LLMs Nice to have: HPC infrastructure healthcare coverage parental leave retirement plans relocation support wellness programs
healthcare coverage parental leave retirement plans relocation support wellness programs
Research Scientist Intern, Synthetic Data for Computer Use Agents (PhD)Meta · Menlo Park, US
AI Scientist Intern - (Internship, Masters or Phd)Mistral · Paris, France+3 more
Software Expert - GenAI & ExperienceMercadolibre · Buenos Aires, Argentina
Senior AI EngineerEnableComp · Remote, US