PyTorch

Cohere

Full-time · Canada, United States · CA$285,000 – CA$340,000 · Remote

This role builds and operates GPU/TPU infrastructure at scale for training frontier AI models, requiring deep expertise in Kubernetes, distributed systems, and close collaboration with AI researchers. It suits engineers with strong systems knowledge who thrive on solving complex infrastructure challenges in fast-paced environments.

Listed on Cohere’s careers site · Apply there ↗

Deepgram

San Francisco, CA · $150,000 – $220,000 · Remote

Deepgram is seeking a data scientist to build data infrastructure and pipelines for training the next generation of voice AI models. You'll work on complex audio challenges like data acquisition, characterization, and benchmarking to support conversational AI systems at scale.

Listed on Deepgram’s careers site · Apply there ↗

Dataminr

Full-time · $229,600 – $337,000

Lead Dataminr's AI engineering organization to translate cutting-edge machine learning research into scalable, real-time intelligence products that detect global events. This role suits experienced engineering leaders with strong AI/ML technical depth who thrive bridging research and production systems.

Listed on Dataminr’s careers site · Apply there ↗

Beckman Coulter

Full-time

This role develops AI-powered software for microscopy applications at Leica Microsystems, combining deep learning, computer vision, and image processing to create next-generation digital microscopy solutions. It suits engineers with strong machine learning expertise and a track record shipping production AI systems, particularly those interested in life sciences applications.

Listed on Beckman Coulter’s careers site · Apply there ↗

Arrow Electronics

Full-time

A senior-level data engineering role focused on designing and building real-time cloud applications, with responsibility for the full software lifecycle from requirements analysis through testing and documentation. This position suits experienced engineers with strong Python skills and cloud platform expertise who want to work across modern data stack technologies.

Listed on Arrow Electronics’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 · San Diego, CA · $123,500 – $188,500

A machine learning engineer role focused on developing detection algorithms for Counter-UAS systems, working with signal processing and large RF datasets to identify drone threats. Suited for someone with a strong foundation in DSP and deep learning who wants to solve real-world defense challenges at the intersection of signal processing and MLOps.

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SAP

Full-time · YY

This role architecting and deploying AI solutions on SAP's cloud platform for organizations worldwide requires deep expertise in both enterprise SAP systems and machine learning frameworks. It suits experienced engineers or architects ready to lead technical teams in building AI-driven business applications.

Listed on SAP’s careers site · Apply there ↗

Visa Inc.

Full-time · Austin, TX · $110,700 – $171,800

This role combines big data platform engineering with full-stack software development, requiring hands-on expertise in Hadoop, Spark, and cloud ecosystems alongside Python or Java programming. It suits experienced engineers who want to work across infrastructure and application layers while incorporating generative AI into scalable business solutions.

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

Bristol Myers Squibb

Full-time · Princeton, NJ · $94,180 – $114,124

Bristol Myers Squibb is hiring a manager-level full stack engineer to lead the design and deployment of AI-native applications and platforms for their Global Development Operations, with responsibility for building production-grade generative and agentic AI solutions in a regulated pharma environment. The role suits someone with 5+ years of software engineering experience, hands-on expertise in large language models and AI frameworks, and the ability to drive cross-functional collaboration in a complex organization.

Listed on Bristol Myers Squibb’s careers site · Apply there ↗