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Ml Researcher Jobs (NOW HIRING)

Rivet Industries

ML Researcher

San Jose, CA · On-site

They are seeking a talented ML Researcher to advance their computer vision and sensor fusion capabilities by implementing machine learning pipelines and conducting cutting-edge research.

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 ...

New

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 ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA · On-site

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA

$184K - $324K/yr

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

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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 Jul 21, 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 are ML Researchers?

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 a Machine Learning 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.
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What cities are hiring for Ml Researcher jobs? Cities with the most Ml Researcher job openings:
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Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 4% 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

Posted 10 days ago

Job description

Founding ML Researcher

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

About the Company

A seed-stage AI company converting complex, unstructured documents into clean, LLM-ready structured data. Production-grade APIs ingest, parse, structure, and split documents across formats (PDF, PPT, Excel) into Markdown and JSON that AI agents and LLMs can work with reliably — preserving document structure and hierarchy while capturing the domain-specific context critical for high-stakes workflows in finance, legal, and healthcare. Founded 2024 · 1–10 people · Industry: AI Tools / Document AI

The Role

Founding ML Researcher shaping the company's ML research direction and translating cutting-edge research into production-ready document-AI models. Research-heavy but product-oriented — you'll be comfortable moving between theory, experimentation, and real-world deployment, with full ownership from idea to production.

What you'll be doing

  • Own the end-to-end ML lifecycle: research experimentation training evaluation production deployment
  • Work with the engineering team to transition research into deployed, scalable systems
  • Drive best practices for data, experimentation, evaluation, and model iteration
  • Work directly with the founders to shape product direction and engineering strategy

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

Requirements
  • Training and deploying state-of-the-art models for parsing and understanding unstructured data
  • Experimenting with novel techniques to improve layout models and VLM-based document understanding
  • Building data pipelines, evaluating model performance, and integrating models into production systems
Green Flags
  • Experience at top research labs like DeepMind, OpenAI
  • Strong publication record in computer vision/ML
  • Hands-on implementation and production experience
Red Flags
  • Candidates whose recent focus has been management, rather than individual contributor work
  • No hands-on experience training AI models
Why Join
  • Define the technical archetype for a small, talent-dense founding team
  • Full ownership of the ML lifecycle, from research through production
  • Direct collaboration with the founders on product and ML strategy
  • Ship models used in high-stakes finance, legal, and healthcare workflows
  • Competitive comp + equity, full health insurance, DoorDash/Uber credits, company laptop
Details

Location: San Francisco, CA
Work policy: On-site
Compensation: $200,000–$300,000 + 0.1%–1% equity
Experience: Any (new PhD grads are acceptable)
Visa sponsorship: H-1B, O-1, OPT
Employment type: Full-time