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Ml Researcher Jobs (NOW HIRING)

David Joseph & Company

ML Researcher

San Francisco, CA

$150K - $300K/yr

AI Tools The Role As an ML Researcher, you own a slice of one of the most interesting open problems in applied AI: figuring out what information inside an LLM context actually matters, and how to ...

NEC Labs

ML - Researcher

Princeton, NJ

The Machine Learning Department, NEC Laboratories America has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a ...

NEC Labs America

ML - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

The research in our department has been published in premier venues and has won numerous awards, including the 2010 IEEE Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, the 2012 ...

DEEPREC.AI

ML Researcher, Speech

San Francisco, CA · On-site

$200K - $250K/yr

Machine Learning Researcher, Audio $200,000 - 250,000+, Equity + Bonus Remote (US & Europe) / San Francisco, CA (Hybrid preferred) Full-time / Permanent DeepRec has partnered with a fast-growing ...

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All JobsMl Researcher Jobs

Ml Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do ml researcher jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ml researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Ml Researcher vs Data Scientist?

AspectML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, academiaCorporate sectors, finance, healthcare, marketing
Common Search & ComparisonYesYes

While both roles involve working with data and algorithms, ML Researchers focus on developing new machine learning models and advancing AI research, often in academic or research settings. Data Scientists analyze data to derive insights and support business decisions, typically working in industry environments. Understanding these differences helps clarify career paths and job expectations.

What are some common challenges ML researchers face when transitioning from academia to industry roles?

ML Researchers often find that transitioning from academia to industry involves adjusting to faster project timelines, a greater focus on practical applications, and more collaborative, cross-functional teams. Unlike academic research, industry roles typically require aligning research objectives with business goals and demonstrating clear value through measurable outcomes. Additionally, researchers may need to adapt to using large-scale production data, deploying models, and maintaining solutions in real-world environments. Embracing agile methodologies and effective communication with stakeholders from diverse backgrounds are key to overcoming these challenges.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who develop new algorithms, models, and techniques in the field of machine learning. They work on advancing the theoretical foundations of AI, as well as creating practical applications for industries such as healthcare, finance, and technology. Their work often involves designing experiments, analyzing large datasets, and publishing findings in academic journals or conferences. ML Researchers collaborate with engineers and data scientists to move innovations from theory to real-world solutions.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need a solid background in mathematics, statistics, programming (typically Python), and a relevant advanced degree such as a Master's or Ph.D. in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and experience with large datasets and cloud computing platforms are commonly required. Strong problem-solving abilities, creativity, and effective communication are vital soft skills for innovating and sharing complex ideas. These skills and qualities enable researchers to advance the state of the art, collaborate effectively, and translate research into practical applications.

How to become an ML researcher?

To become an ML researcher, typically a strong background in computer science, mathematics, or related fields is required, often including a master's or Ph.D. in machine learning, artificial intelligence, or a similar area. Developing skills in programming languages like Python, proficiency with machine learning frameworks such as TensorFlow or PyTorch, and gaining experience through research projects or publications are essential steps.
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Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Founding ML Researcher

David Joseph & Company

San Francisco, CA • On-site

$200K - $300K/yr

Full-time

Medical

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

San Francisco, CA · On-site · Full-time Compensation: $200,000–$300,000 + 0.1%–1% equity

About the Company

Our client converts complex documents into LLM-ready data. Its production-grade APIs ingest, parse, structure, and split documents across formats (PDF, PPT, Excel) into clean Markdown and JSON that AI agents and LLMs can work with reliably from day one. The platform preserves document structure and hierarchy while capturing the domain-specific context critical for high-stakes workflows across finance, legal, and healthcare.

Founded 2024 · 1–10 people (Seed) · Industry: AI Tools / Document AI

The Role

A Founding ML Researcher shaping the client's ML research direction and translating cutting-edge research into production-ready document-AI models. Research-heavy but product-oriented — comfortable moving between theory, experimentation, and real-world deployment.

Tech stack: VLM-based document understanding, layout models, parsing of unstructured data, and production model serving / inference optimization.

What you'll be doing

  • Train and deploy state-of-the-art models for parsing and understanding unstructured data
  • Experiment with novel techniques to improve layout models and VLM-based document understanding
  • Build data pipelines, evaluate model performance, and integrate models into production systems
Requirements
  • A strong ML / computer-vision research background
  • Hands-on implementation and production experience
  • Comfortable moving between theory, experimentation, and deployment
Nice to Haves
  • Experience at top research labs (e.g., DeepMind, OpenAI)
  • A strong publication record in computer vision / ML
Why Join
  • Define the technical ceiling: this role sets the research archetype for a small, talent-dense founding team
  • End-to-end ownership: own the full ML lifecycle — research, experimentation, training, evaluation, production deployment
  • Direct founder access: work directly with the founders to shape product direction and long-term ML strategy
  • Real production impact: ship document-AI models used in high-stakes finance, legal, and healthcare workflows
  • Perks: competitive comp + equity, full health insurance, meal/ride credits, company laptop
Details
  • Location — San Francisco, CA
  • Work policy — On-site
  • Compensation — $200,000–$300,000 + 0.1%–1% equity
  • Visa sponsorship — Available (H-1B, O-1, OPT)
  • Employment type — Full-time