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Remote Research Jobs in Renton, WA (NOW HIRING)

Manager, Market Insights (REMOTE)

Redmond, WA · On-site +1

$133K - $222K/yr

Ensure research rigor-assess validity/reliability, understand statistical significance and basic hypothesis testing, and communicate limitations clearly. * Coach and enable others to conduct ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... Research & Genomics Analyst communicates regularly with Engagement Managers (Directors), project ...

Manager, Partner Research Solutions Truveta is the world's first health provider led data platform ... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Showing results 1-20

Remote Research information

See Renton, WA salary details

$10

$56

$181

How much do remote research jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote research in Renton, WA is $56.72, according to ZipRecruiter salary data. Most workers in this role earn between $23.44 and $63.43 per hour, depending on experience, location, and employer.

What are some common challenges faced in a Remote Research role and how can they be addressed?

One of the main challenges in Remote Research positions is maintaining effective communication and collaboration with team members across different locations and time zones. Researchers may also need to independently manage their workload and ensure access to up-to-date resources or data, which requires strong organizational skills. To overcome these obstacles, utilizing collaborative platforms like Slack or Microsoft Teams, maintaining clear written records, and establishing regular check-in meetings are highly effective. Adapting to these remote work dynamics helps build strong partnerships and ensures research projects remain on track and impactful.

What is a Remote Research job?

A Remote Research job involves conducting studies, analyzing data, and gathering insights from a remote location, without being physically present in a traditional office. Researchers may work in various fields such as market research, academic studies, or user experience testing. They use digital tools to collect and analyze information, collaborate with teams, and present findings. This role requires strong analytical skills, attention to detail, and proficiency in research methodologies. It offers flexibility but also requires self-discipline and effective communication.

What are the key skills and qualifications needed to thrive in the Remote Research position, and why are they important?

To thrive in Remote Research, you need strong analytical, critical thinking, and data analysis skills, often supported by a bachelor’s or master’s degree in a relevant field such as social sciences, market research, or scientific disciplines. Experience with research databases, statistical tools like SPSS or R, and data visualization platforms is highly beneficial. Exceptional written communication, self-motivation, and time management skills distinguish top performers in this remote setting. These abilities ensure high-quality, independent work and reliable research outcomes while collaborating virtually with teams.

What are the most commonly searched types of Research jobs in Renton, WA? The most popular types of Research jobs in Renton, WA are:
What job categories do people searching Remote Research jobs in Renton, WA look for? The top searched job categories for Remote Research jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Research jobs? Cities near Renton, WA with the most Remote Research job openings:
Infographic showing various Remote Research job openings in Renton, WA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $117,986 per year, or $56.7 per hour.
Staff Research Scientist (AdTech/Recommendation Systems)

Staff Research Scientist (AdTech/Recommendation Systems)

Cognitiv

Bellevue, WA • On-site, Remote

$200K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Are you ready to revolutionize the advertising industry?
At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.
With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.
Now, we're growing!
The Role

We are seeking a Staff Research Scientist who can drive innovation through deep technical expertise and hands-on execution. You'll contribute to cutting-edge research in deep learning and LLMs while advancing Cognitiv's real-time bidding and recommendation systems at production scale. This role sits at the intersection of applied research and high-performance machine learning systems.

Location: This position will be located in Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

What You'll Do
  • Drive Research & Innovation. Design, prototype, and evaluate advanced machine learning and deep learning approaches, with a focus on recommendation systems, real-time bidding, and LLM-driven applications.
  • Stay Hands-On. Contribute directly through coding, experimentation, model development, and technical problem-solving across the full ML lifecycle.
  • Advance AdTech Performance. Improve model accuracy, scalability, and efficiency to drive ad targeting, bidding performance, and audience relevance.
  • Build Production-Ready ML Systems. Partner closely with engineering and infrastructure teams to deploy, optimize, and monitor machine learning models in large-scale production environments.
  • Explore Emerging Technologies. Stay current with advancements in deep learning, transformers, and LLM research, identifying practical opportunities to apply new techniques within Cognitiv's platform.
  • Collaborate Cross-Functionally. Work closely with data science, engineering, product, and platform teams to solve complex technical challenges and deliver impactful ML solutions.
  • Contribute Technical Expertise. Provide thoughtful technical input through design discussions, experimentation reviews, and collaboration with other researchers and engineers.
Tech Stack
  • Core Tools – Python, PyTorch, deep learning architectures (transformers, recommendation models).
  • Traditional ML – XGBoost, PCA.
  • Big Data / Infra – Spark, Hadoop, distributed training systems.
  • Cloud Platforms – AWS, GCP, or Azure.
  • Bonus – C++.
Who You Are
  • Experienced ML Researcher/Engineer: Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5–7+ years of experience in machine learning R&D or applied ML.
  • Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
  • Machine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.
  • Engineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real-time, high-throughput systems (e.g., recommender systems, adtech).
  • Production Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).
  • Collaborative Communicator: Strong written and verbal communication skills with the ability to work effectively across research and engineering teams in a fast-paced environment.
Bonus Points If You Have
  • AdTech & RTB Experience. Prior exposure to advertising technology and real-time bidding (RTB) systems is a strong plus.
  • Distributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • C++ Skills. Strong C++ programming ability is a significant advantage alongside Python expertise.
  • Research & Community Impact. A track record of published research or meaningful contributions to the machine learning community.
  • Bridging Research and Production. Experience translating research ideas into scalable, production-grade machine learning systems.

Salary: $200,000 - $270,000 USD Base Salary + Equity

What We Offer
Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.
Highlights include:
  • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
  • 12 weeks paid parental leave + 4 weeks WFH
  • Unlimited PTO + Work-From-Anywhere August
  • Career development with clear advancement paths
  • Equity for all employees
  • Hybrid work model & daily team lunch
  • Health & wellness stipend + cell phone reimbursement
  • 401(k) & RRSP with employer match
  • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
  • Employee Assistance Program
  • Comprehensive onboarding (Cognitiv University)
  • …and more!
What You'll Find at Cognitiv
  • Festiv – We make work fun with cross-team games, events, and creative team bonding.
  • Responsiv – You'll be close to clients and leadership, influencing real outcomes.
  • Inclusiv – Diversity and individuality are celebrated across all levels.
  • Inventiv – We reward curiosity and embrace bold ideas.
  • Transformativ – We support your growth with training, mentorship, and flexibility.
  • Collaborativ – We operate across coasts, connected by purpose and teamwork.
Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.
Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.