scikit-learn

Auto-Owners Insurance

Lansing, MI

This role involves building statistical and machine learning models to solve insurance business problems and improve decision-making across the company. It suits someone with a quantitative background and 2-4 years of professional modeling experience who wants to work collaboratively on high-impact analytics in a hybrid environment.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

American International Group

Atlanta, GA

AIG is building a new Generative AI team and seeks a Data Scientist to lead the development of enterprise-scale LLM and ML solutions for insurance applications. This role suits someone with deep production experience in generative AI who wants to drive technical decisions on high-impact projects in a fast-paced environment.

Listed on American International Group’s careers site · Apply there ↗

AeroVironment

Full-time · $129,500 – $197,500

This role develops computer vision and machine learning algorithms for defense and commercial applications, working on detection, classification, and tracking systems for autonomous platforms. It suits experienced machine learning engineers comfortable with both traditional ML pipelines and deep learning, who can bridge algorithm research with real-world deployment on embedded systems.

Listed on AeroVironment’s careers site · Apply there ↗

SAP

Full-time · New York, NY · $131,000 – $271,600

SAP is hiring a software engineer to develop AI-enabled enterprise applications alongside senior engineers and customer teams. This role suits early-career engineers with solid foundational skills who want hands-on experience building production AI systems while learning from experienced practitioners.

Listed on SAP’s careers site · Apply there ↗

The Hershey Company

Dallas, TX

A senior data scientist role at Hershey's where you'll own end-to-end machine learning and optimization projects, developing production-ready models that directly influence consumer products and business strategy. This is for an experienced individual contributor who can translate business problems into rigorous scientific solutions while working across engineering, product, and business teams.

Listed on The Hershey Company’s careers site · Apply there ↗

Workday

Full-time · $163,000 – $288,000

This role involves developing machine learning systems and AI-powered services at scale, working with large language models, retrieval-augmented generation, and agentic reasoning to build features across Workday's product suite. It suits experienced ML engineers who can design and ship production systems, lead technically, and stay current with advances in AI.

Listed on Workday’s careers site · Apply there ↗

Zillow

Full-time · Remote-USA · $129,500 – $217,700

This role involves designing and deploying machine learning systems that power Zillow's home-search experience, from ranking and recommendations to generative AI features. It suits applied scientists with experience in real-world ML development, search systems, or LLMs who want to work on products affecting millions of users.

Listed on Zillow’s careers site · Apply there ↗

NVIDIA

$184,000 – $287,500

NVIDIA seeks a senior engineer to develop and optimize JAX-based components for its AI platform, working on core infrastructure that powers deep learning research and real-world applications. This role combines systems-level performance optimization with collaborative work across research and product teams to advance numerical computing tools.

Listed on NVIDIA’s careers site · Apply there ↗

LSEG

This role leads a team of data scientists and machine learning engineers building AI-powered products for financial markets, combining technical expertise with people leadership to deliver production-grade solutions. It suits experienced engineering managers comfortable with both hands-on AI development and strategic team building in a fast-moving AI organization.

Listed on LSEG’s careers site · Apply there ↗

CrowdStrike

Full-time · Sunnyvale, CA · $90,000 – $125,000

CrowdStrike is looking for a new graduate data scientist to build machine learning and AI systems that analyze security data at massive scale for their next-generation SIEM platform. This role suits someone with a strong quantitative background and hands-on experience with deep learning frameworks who wants to work on real-world AI problems in cybersecurity.

Listed on CrowdStrike’s careers site · Apply there ↗