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From Home Ml Researcher Jobs (NOW HIRING)

ML Researcher

San Francisco, CA ยท On-site

$150K - $300K/yr

Has trained models from scratch with genuine end-to-end ownership * Strong ML fundamentals -- transformers, mechanistic interpretability, LLM research * A high-agency, self-directed, experiment ...

ML Researcher, Speech

San Francisco, CA ยท On-site

$200K - $250K/yr

Recent Series C funding with backing from leading Silicon Valley investors, they are building the ... No speculative research track here. If you want your work to hit production within weeks, not years ...

... from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard ... research and the product are inseparable, this is the team Description We believe that the most ...

... from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard ... research and the product are inseparable, this is the team Description We believe that the most ...

... from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard ... research and the product are inseparable, this is the team Description We believe that the most ...

... from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard ... research and the product are inseparable, this is the team Description We believe that the most ...

Principal AI/ML Researcher

Boston, MA ยท On-site

$270K - $300K/yr

Identify which research bets in self-supervised and representation learning are worth making, and drive the most ambiguous and unproven ones from thesis to validated, production capability.

Machine Learning Researcher

San Francisco, CA ยท On-site

$140K - $250K/yr

Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale neural datasets ...

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From Home Ml Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do from home ml researcher jobs pay per year?

As of Aug 7, 2026, the average yearly pay for from home 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 are the key skills and qualifications needed to thrive as a from home ML researcher?

To thrive as a From Home ML Researcher, you need a strong background in machine learning theory, statistics, and programming, usually supported by an advanced degree in computer science, mathematics, or related fields. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with cloud computing platforms are typically required. Strong analytical thinking, self-motivation, and effective remote communication are key soft skills for independent research and collaboration across distributed teams. These abilities ensure high-quality research outcomes, efficient workflow, and meaningful contributions to innovative machine learning projects from a remote environment.

What are some common challenges of working remotely as an ML researcher, and how can they be addressed?

Remote ML Researchers may encounter challenges related to collaboration, access to computational resources, and maintaining clear communication with their team. To address these, it's important to proactively use collaboration tools, set regular check-ins with colleagues, and ensure secure access to cloud-based computing environments. Staying engaged with the research community through virtual conferences and online forums can also help mitigate feelings of isolation and keep you updated with the latest advancements.

What is the difference between From Home ML Researcher vs Data Scientist?

AspectFrom Home ML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentRemote, research-focused, often in tech or AI companiesRemote or on-site, involves data analysis and business insights
Industry UsagePrimarily in AI, machine learning, and research labsAcross finance, healthcare, tech, and marketing sectors

From Home ML Researchers focus on developing and improving machine learning models in a remote research setting, often requiring advanced degrees. Data Scientists analyze data to derive insights and support business decisions, with a broader application scope. Both roles may work remotely but differ in their core responsibilities and industry focus.

What does a from home ML researcher do?

A 'From Home ML (Machine Learning) Researcher' conducts research and development in the field of machine learning, typically working remotely. Their tasks include designing new algorithms, analyzing datasets, building and testing models, and publishing findings, all from a home office. They may collaborate with academic, industry, or open-source teams using digital communication tools and cloud-based resources. The role requires strong programming skills, statistical knowledge, and the ability to work independently. Working from home provides flexibility but also requires good self-management and communication skills.
More about From Home Ml Researcher jobs
What cities are hiring for From Home Ml Researcher jobs? Cities with the most From Home Ml Researcher job openings:
What are the most commonly searched types of Ml Researcher jobs? The most popular types of Ml Researcher jobs are:
What states have the most From Home Ml Researcher jobs? States with the most job openings for From Home Ml Researcher jobs include:
Infographic showing various From Home Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% 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 โ€ข On-site

$200K - $300K/yr

Full-time

Medical

Posted 27 days ago


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