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36 open listings · Page 2 of 2
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Eight Sleep
Internship · San Francisco, CA
Eight Sleep is recruiting machine learning research interns to develop AI models for sleep fitness applications, working on problems like activity recognition, sleep forecasting, and personalized thermoregulation. The role suits students pursuing advanced degrees in computer science or related fields who want hands-on mentorship and the chance to ship research into production.
Listed on Eight Sleep’s careers site · Apply there ↗
Zencastr
New York, NY · Remote
A machine learning engineer role focused on building AI systems for podcast creation, particularly in speech processing and personalization. This suits engineers with deep ML experience who want to work on large-scale systems impacting millions of users.
Listed on Zencastr’s careers site · Apply there ↗
Auto-Owners Insurance
Full-time · Lansing, MI
This role leads the development and deployment of statistical and machine learning models to solve complex insurance business problems, requiring deep expertise in data science techniques and large-scale data handling. It suits experienced data scientists who want to mentor others and influence decision-making across a large organization.
Listed on Auto-Owners Insurance’s careers site · Apply there ↗
American International Group
Atlanta, GA
Join AIG's new generative AI team to design and deploy large-scale LLM and machine learning solutions that transform how the insurance industry manages risk. This role suits experienced data scientists who want to lead technically complex projects from architecture through production with significant business impact.
Listed on American International Group’s careers site · Apply there ↗
SAP
Full-time · New York, NY · $176,300 – $374,200
This role embeds you directly in customer environments as a principal-level data scientist applying advanced ML and statistical techniques to solve enterprise challenges. You'll lead complex analytical projects from problem framing through production deployment, working closely with stakeholders to deliver measurable business impact across SAP's customer base.
Listed on SAP’s careers site · Apply there ↗
NVIDIA
$168,000 – $310,500
NVIDIA is seeking a senior physical design engineer to develop and optimize chip design methodologies across their product line, with focus on power, performance, and area efficiency on advanced semiconductor nodes. This role combines deep expertise in EDA tools and physical design flows with emerging opportunities to apply machine learning to accelerate design cycles.
Listed on NVIDIA’s careers site · Apply there ↗
Workday
Full-time · $160,000 – $240,000
Build machine learning systems and AI-powered features for Workday's enterprise platform, working on large language models, retrieval-augmented generation, and agentic AI at scale. This role suits experienced ML engineers who can design and ship production systems while staying current with AI advancements.
Listed on Workday’s careers site · Apply there ↗
impact.com
3 locations · $165,000 – $185,000
This role involves designing and deploying machine learning models to optimize pricing, yield, and inventory allocation in a programmatic advertising marketplace. It suits experienced ML engineers and data scientists who thrive on full-stack ownership, from data pipelines and feature engineering through production inference and experimentation, and who understand marketplace economics alongside statistical rigor.
Listed on impact.com’s careers site · Apply there ↗
Gofundme
Full-time · San Francisco, CA · $179,500 – $269,500
This role leads pricing science and donation optimization at GoFundMe, applying economics, behavioral modeling, and machine learning to understand donor decision-making and improve conversion. It suits experienced data scientists or economists who have shipped pricing or marketplace systems and want to combine rigorous causal inference with product impact.
Listed on Gofundme’s careers site · Apply there ↗
Intuit
2 locations · $165,500 – $243,500
Intuit seeks an AI scientist to build and deploy machine learning models that power fraud detection, security, and personalization across their product suite. This role suits someone who enjoys hands-on data work, from ETL and feature engineering through experimentation and statistical validation, and who can communicate technical findings to non-technical stakeholders.
Listed on Intuit’s careers site · Apply there ↗
Intuit
3 locations · $202,500 – $274,000
A Staff Machine Learning Engineer will design, build, and deploy data science models at scale within Intuit's data science team, working across the full pipeline from data preparation through A/B testing and impact analysis. This role suits experienced ML engineers comfortable with the mathematical foundations of machine learning and production software engineering practices who want to work on problems serving millions of users.
Listed on Intuit’s careers site · Apply there ↗