Neural Networks

Visa Inc.

Full-time · US - Foster City, CA · $180,600 – $289,300

Lead a data science team at Visa building machine learning and AI products for dispute resolution and post-purchase payments. This role suits experienced managers comfortable with both hands-on technical leadership and cross-functional strategy in a global, heavily regulated environment.

Listed on Visa Inc.’s careers site · Apply there ↗

Blackstone Group

Full-time · $150,000 – $200,000

A quantitative researcher role supporting systematic credit portfolio management at a major alternative asset manager. The position suits candidates with strong analytical and programming skills who want to develop investment models and signals in a fast-paced institutional environment.

Listed on Blackstone Group’s careers site · Apply there ↗

Sentry Insurance

Stevens Point, WI

This role develops statistical and machine learning models to solve business problems across pricing, underwriting, and claims at an insurance company. It suits quantitative professionals who want to apply data science techniques to real business outcomes while working with cross-functional teams.

Listed on Sentry Insurance’s careers site · Apply there ↗

Ambarella

US Headquarters · $161,000 – $182,000

This role optimizes AI vision models for embedded processors, focusing on deploying deep learning onto specialized hardware like the Ambarella SoC. It suits engineers with expertise in PyTorch, computer vision, and embedded systems who want to bridge machine learning with hardware constraints.

Listed on Ambarella’s careers site · Apply there ↗

Duolingo

Pittsburgh, PA · $197,200 – $266,800

Duolingo seeks a senior AI researcher to build machine learning systems for their video call learning product, working across the full ML stack from data preparation through deployment. This role suits experienced ML engineers comfortable with large language models, speech systems, and personalization techniques who want to mentor others while solving education-focused problems at scale.

Listed on Duolingo’s careers site · Apply there ↗

Intuit

Atlanta, GA

An AI scientist position focused on developing and deploying machine learning models to power marketing and personalization features. This role suits someone with advanced training in a technical field who wants hands-on experience across the full ML lifecycle, from research through production, while collaborating closely with product and engineering teams.

Listed on Intuit’s careers site · Apply there ↗

Spotter

Full-time · Culver City, CA · $167,000 – $185,000

This role builds machine learning systems that help YouTube creators optimize their content and business decisions, emphasizing production reinforcement learning, bandit algorithms, and recommendation systems. It's suited to experienced ML scientists who thrive shipping models to real users and iterating based on production feedback.

Listed on Spotter’s careers site · Apply there ↗

Motional

Full-time · Boston, MA · $146,000 – $225,000 · Remote

This role leads the development and deployment of machine learning models that enable autonomous vehicles to understand driving scenes and plan safe trajectories. It suits experienced ML engineers who want to work on deep learning systems for real-world autonomous driving applications.

Listed on Motional’s careers site · Apply there ↗

Menlo Ventures Portfolio

San Francisco, CA · $350,000 – $500,000

Anthropic is seeking an experienced manager to lead their Interpretability team, overseeing researchers and engineers focused on understanding how large language models work internally. This role suits someone with a strong technical background in ML/AI and proven experience managing high-performing research teams through ambitious, exploratory work.

Listed on Menlo Ventures Portfolio’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 ↗