AI Research Scientist Jobs
AI Research Scientist jobs are open across technology, healthcare, finance, and defense, from entry-level research roles to principal and distinguished scientist positions, with specializations in natural language processing, computer vision, and reinforcement learning. Find a role that fits from the openings below and apply directly.
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Showing 5 of 342+ AI Research Scientist jobs
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Job Responsibilities:
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Requirement:
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Qualifications:
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
AI Research Scientist Jobs by Experience Level
Top Cities Hiring AI Research Scientists
Explore AI research scientist openings in the cities hiring most right now.
See All 342+ AI Research Scientist Jobs
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Find AI Research Scientist JobsAI Research Scientist Job Market
Who's Hiring
- Meta14
- JPMorganChase12
- Booz Allen Hamilton12
- ByteDance11
- Google7
Top Industries Hiring
- Technology & Software52
- Education15
- Banking & Financial Services11
- Investment & Asset Management10
- Biotechnology & Pharmaceuticals7
What Employers Look For
The qualifications that appear most often in AI research scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Publication record in peer-reviewed venues such as NeurIPS, ICML, ICLR, or ACL
- Ability to communicate research findings clearly to both technical and non-technical audiences
- Familiarity with distributed training, cloud compute platforms, and experiment tracking tools
Tips for Your AI Research Scientist Job Search
Lead your resume with publications
Hiring managers for ai research scientist roles scan for peer-reviewed work before anything else. List first-author papers, preprints, and conference proceedings at the top of your resume, ahead of your work history, so reviewers can assess your research output immediately.
Match your specialization to the job description
AI research scientist postings vary widely by domain. A role focused on large language models requires a different portfolio than one in robotics or drug discovery. Tailor your application materials to the specific subdomain listed, not to AI research in general.
Apply early to roles that fit
Migrate Mate lists ai research scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a research talk before interviews
Most ai research scientist interviews include a technical presentation on your prior work. Prepare a 20-minute talk on your strongest project that covers the problem, your methodology, results, and what you would do differently, then practice fielding deep follow-up questions on every choice you made.
Surface your GitHub and model benchmarks
Reproducible results and public code repositories carry real weight when you apply. Link to your GitHub, Hugging Face model cards, or benchmark leaderboard entries directly in your resume or cover letter so reviewers can verify your claims without extra steps.
Negotiate research resources, not just compensation
When you reach the offer stage, ask specifically about compute budget, access to proprietary datasets, publication approval processes, and collaboration with external academics. These conditions affect your ability to do the work and your long-term output as a researcher.
AI Research Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most ai research scientists?
The companies hiring the most ai research scientists right now include Meta, JPMorganChase, and Booz Allen Hamilton, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Roles are concentrated in technology and cloud infrastructure companies, though healthcare and defense organizations are increasingly active in this space.
How many ai research scientist jobs are remote?
About 35% of ai research scientist openings are fully remote or hybrid as of August 2026, making this one of the more location-flexible research roles in the job market. Sub-areas like natural language processing and generative AI tend to offer the highest share of remote positions, while robotics and hardware-adjacent research roles are more likely to require on-site presence.
How do you become an ai research scientist?
Most ai research scientists earn a PhD in machine learning, computer science, or a related quantitative field, building a publication record through graduate research and internships at research labs. You deepen expertise in a specific domain, such as natural language processing or computer vision, contribute to open-source projects or preprint servers, and apply to roles where your published work aligns with the team's active research agenda.
Can you get hired as an ai research scientist with little or no experience?
Breaking in without a traditional research background is hard but possible if you can demonstrate original work. Publishing preprints on platforms like arXiv, contributing meaningfully to open-source AI projects, placing competitively on benchmark leaderboards, or completing a research-focused master's thesis can substitute for formal industry experience when applying to junior or associate research scientist roles.
What does the ai research scientist interview process look like?
The process typically begins with a recruiter screen, followed by a technical phone interview covering machine learning fundamentals and coding. Finalists usually complete a research presentation where they walk through a past project in depth, then face a full interview loop with current researchers that includes whiteboard problem-solving, deep dives into your methodology, and discussions about research direction and scientific judgment.
Where can I find and apply to ai research scientist jobs?
You can find and apply to ai research scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
See All 342+ AI Research Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Research Scientist Jobs