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Remote Innovation Scientist Jobs in California (NOW HIRING)

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This position reports to the SVP Basketball, Analytics and Innovation. Come share your expertise ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

The Role We're seeking a Data Scientist to join our Data & Analytics team within the Growth ... Remote Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

With enterprise-grade security and continuous innovation at its core, Workato provides the trusted ... Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ...

Netflix

Product Manager, Plans Innovation

Los Gatos, CA · On-site +1

This role can also be remote-based from the West Coast (PST timezone). Some travel to Los Gatos ... Build business cases and measure the impact of your product innovation, with your data science ...

Netflix

Product Manager, Plans Innovation

Los Gatos, CA · On-site +1

This role can also be remote-based from the West Coast (PST timezone). Some travel to Los Gatos ... Build business cases and measure the impact of your product innovation, with your data science ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

... innovation and customer outcomes. What You'll Do * Design, build, and deploy scalable machine ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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Remote Innovation Scientist information

What is a remote innovation scientist?

A Remote Innovation Scientist is a professional who researches, develops, and implements new ideas or technologies for a company while working remotely. They often collaborate with teams virtually to create innovative solutions, improve products, or optimize processes. Their role involves staying updated on the latest scientific trends, conducting experiments, and analyzing data to drive innovation. This position requires strong problem-solving skills, creativity, and effective communication, as much of the work and collaboration is done online.

How does a remote innovation scientist typically collaborate with cross-functional teams despite working remotely?

Remote Innovation Scientists frequently use digital collaboration tools such as video conferencing, project management platforms, and cloud-based document sharing to maintain close communication with colleagues in R&D, marketing, and product development. Regular virtual meetings, brainstorming sessions, and status updates are standard practices to ensure alignment and share progress on innovative projects. Effective time management and proactive communication are crucial for overcoming challenges related to time zone differences and building strong, productive relationships with diverse team members.

What are the key skills and qualifications needed to thrive as a remote innovation scientist, and why are they important?

To thrive as a Remote Innovation Scientist, you need a strong background in scientific research, creativity in problem-solving, and advanced degrees (such as a Ph.D.) in a relevant field. Familiarity with data analysis software, collaboration tools, and patent or intellectual property systems is typically required. Exceptional communication, self-motivation, and adaptability are crucial soft skills for remote work and cross-functional teamwork. These competencies ensure effective innovation, knowledge sharing, and the successful development of new products or solutions in a distributed work environment.

What are the most commonly searched types of Innovation Scientist jobs in California?

The most popular types of Innovation Scientist jobs in California are:

What are popular job titles related to Remote Innovation Scientist jobs in California?

For Remote Innovation Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Innovation Scientist jobs in California look for?

The top searched job categories for Remote Innovation Scientist jobs in California are:

What cities in California are hiring for Remote Innovation Scientist jobs?

Cities in California with the most Remote Innovation Scientist job openings:

Remote Innovation Scientist jobs near you
Infographic showing various Remote Innovation Scientist job openings in California as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Staff Research Scientist, AdTech Product Innovation

San Mateo, CA • On-site, Remote

Cognitiv
11 - 50 employees
Learn more about Cognitivexternal

$200K - $270K/yr

Full-time

Re-posted 11 days ago

Job description

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

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