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Volunteering Deep Learning Research Jobs in Renton, WA

Jobtailor

AI Research Scientist

Seattle, WA · On-site

$150 - $210/hr

Strong foundation in machine learning, deep learning, and scientific computing, including ... Research experience applying machine learning to biological, genomic, or other life‑science data ...

Ai2

Research Scientist, Asta

Seattle, WA · On-site

... of deep learning, or efficient algorithms for deep learning. • The ability to own and pursue a research agenda to improve AI model reasoning capabilities. • Enthusiasm for collaboration and ...

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

... of deep learning, or efficient algorithms for deep learning. • The ability to own and pursue a research agenda to improve AI model reasoning capabilities. • Enthusiasm for collaboration and ...

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

... of deep learning, or efficient algorithms for deep learning. • The ability to own and pursue a research agenda to improve AI model reasoning capabilities. • Enthusiasm for collaboration and ...

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Machine Learning Research Scientist Location: Hybrid - SOLU,Seattle, WA) Compensation: $190-230k ... Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX * Ability to work ...

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Machine Learning Research Scientist Location: Hybrid - SOLU,Seattle, WA) Compensation: $190-230k ... Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX * Ability to work ...

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All JobsVolunteering Deep Learning Research JobsVolunteering Deep Learning Research Jobs in Renton, WA

Volunteering Deep Learning Research information

What is volunteering deep learning research?

Volunteering deep learning research involves contributing your time and skills to support research projects focused on deep learning, often within academic, nonprofit, or open-source communities. Volunteers may help with tasks such as data annotation, coding, literature reviews, or running experiments. This work can be a great way to gain hands-on experience, collaborate with experienced researchers, and make a positive impact without a formal employment relationship. Opportunities are available for individuals with varying levels of expertise, from students to professionals.

What types of projects and tasks can I expect to work on as a volunteer in deep learning research?

As a volunteer in deep learning research, you may be involved in a variety of tasks such as data preprocessing, literature reviews, implementing and testing machine learning models, or assisting with experiments. Depending on the research lab or team, you could also contribute to writing code, analyzing results, or preparing research papers and presentations. Collaboration is common, so you'll likely work closely with researchers, graduate students, and other volunteers. This role is an excellent opportunity to gain hands-on experience, deepen your understanding of deep learning concepts, and build a network within the AI research community.

What are the key skills and qualifications needed to thrive as a volunteering deep learning researcher, and why are they important?

To thrive as a Volunteering Deep Learning Researcher, you need a strong background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by relevant coursework or self-study. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and version control systems like Git is typically required. Curiosity, collaboration, effective communication, and self-motivation are standout soft skills in this role. These skills and qualities are crucial for contributing meaningfully to research projects, learning independently, and advancing innovative solutions within a team-oriented research environment.

What is the difference between Volunteering Deep Learning Research vs Data Scientist?

AspectVolunteering Deep Learning ResearchData Scientist
CredentialsTypically requires knowledge of deep learning frameworks, programming skills, and research experience; often no formal certification neededRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentResearch-focused, often nonprofit or academic settings, with flexible hoursCorporate or industry settings, structured work hours, project-driven
Employer & IndustryAcademic institutions, research labs, nonprofitsTech companies, finance, healthcare, and other industries

While both roles involve working with data and machine learning, volunteering deep learning research focuses on academic or nonprofit research projects often without formal compensation, whereas data scientists work in industry settings with a focus on applying data analysis to business problems.

What are popular job titles related to Volunteering Deep Learning Research jobs in Renton, WA?

For Volunteering Deep Learning Research jobs in Renton, WA, the most frequently searched job titles are:

What cities near Renton, WA are hiring for Volunteering Deep Learning Research jobs?

Cities near Renton, WA with the most Volunteering Deep Learning Research job openings:

Volunteering Deep Learning Research jobs near you
Infographic showing various Volunteering Deep Learning Research job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Research Engineer - MSL FAIR Foundations

Meta

Seattle, WA

$154K/yr

Full-time

Re-posted 14 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring solid research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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