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109 open listings · Page 2 of 5
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
WaPo
DC-Washington-TWP Headquarters
Listed on WaPo’s careers site · Apply there ↗
Motorola Solutions
Los Angeles, CA
Listed on Motorola Solutions’s careers site · Apply there ↗
Gofundme
Full-time · San Francisco, CA · $219,000 – $329,000
Lead GoFundMe's machine learning operations team, responsible for building reliable infrastructure and processes that keep ML and AI systems running safely at scale in production. This role suits experienced ML engineers who have managed teams and want to shape how an organization operationalizes machine learning across its platform.
Listed on Gofundme’s careers site · Apply there ↗
Voyager
Full-time · El Segundo, CA · $120,000 – $170,000
This role develops deep learning and machine learning models for computer vision, radar, and geospatial applications serving U.S. government customers. It suits engineers with 0–5 years of experience who want to apply neural networks to real-world defense and space challenges.
Listed on Voyager’s careers site · Apply there ↗
Moody's Corporation
Full-time · Chicago, IL · $95,500 – $138,550
This role develops machine learning and computer vision solutions for Moody's property intelligence platform, working with geospatial imagery to help organizations assess climate and economic risks. It suits engineers with 2+ years of ML experience who want to apply deep learning and AI governance expertise to real-world risk assessment problems at scale.
Listed on Moody's Corporation’s careers site · Apply there ↗
General Mills
Listed on General Mills’s careers site · Apply there ↗
Accenture
This role involves operationalizing machine learning models within data pipelines, using Airflow and PySpark to manage workflows and generate automated alerts. It suits experienced data engineers or ML engineers who want to focus on model deployment, data processing, and pipeline optimization rather than model research and development.
Listed on Accenture’s careers site · Apply there ↗
Comcast
DC - Washington, 1325 G ST NW STE 300 · $142,651 – $213,977
This role involves building scalable backend systems in Golang that power a multimodal ML platform handling video, image, and document processing at scale. It's ideal for a mid-level engineer comfortable with Kubernetes, AWS infrastructure, and integrating LLMs and agent frameworks into production services.
Listed on Comcast’s careers site · Apply there ↗
Motional
Boston, MA · $240,000 – $330,000 · Remote
This role leads the machine learning infrastructure that mines autonomous vehicle sensor data to find rare failure modes and edge cases. It's ideal for a principal-level engineer comfortable architecting massive-scale ML systems, mentoring small teams, and bridging technical work across multiple organizations at a driverless-car company moving toward commercial deployment.
Listed on Motional’s careers site · Apply there ↗
Hugging Face
Full-time · New York, NY · Remote
This role involves maintaining and improving Hugging Face's widely-used open-source machine learning libraries like Transformers and Datasets, collaborating directly with a global community of researchers and practitioners. It suits developers with a proven track record contributing to open-source ML projects who are passionate about making machine learning tools accessible and want to work on impactful ecosystem-level work.
Listed on Hugging Face’s careers site · Apply there ↗
Metropolis Technologies
Seattle, WA · $175,000 – $215,000
Metropolis is hiring a senior machine learning engineer to build computer vision models for real-world applications in parking, retail, and hospitality. The role emphasizes production deployment, optimization across hardware platforms, and cross-functional collaboration within an AI-driven company.
Listed on Metropolis Technologies’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $280,000
This role leads the model serving infrastructure for real-time voice AI applications, optimizing how large language and speech models run on GPU hardware with minimal latency. It suits experienced ML engineers who have shipped inference systems at scale and want to shape the technical direction of a fast-growing voice platform.
Listed on Together AI’s careers site · Apply there ↗
CesiumAstro
Full-time · Austin, TX
CesiumAstro seeks an experienced machine learning engineer to develop and deploy ML solutions for their satellite and airborne communication systems. This role partners with product, backend, and systems teams to build robust ML applications supporting space technology platforms.
Listed on CesiumAstro’s careers site · Apply there ↗
Eight Sleep
Full-time · San Francisco, CA
This role involves building machine learning systems that personalize sleep experiences through predictive models, foundation model applications, and behavior analysis. It suits engineers who enjoy owning projects end-to-end from research through production deployment and want to work on consumer health technology.
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 ↗
Krea AI
Full-time · San Francisco, CA
Krea is hiring a machine learning engineer to develop and train large-scale diffusion models for image and video generation, working on research that bridges AI capabilities with creative control. This role suits someone with a strong foundation in deep learning and distributed systems who wants to contribute to production-grade AI research at a well-funded creative AI company.
Listed on Krea AI’s careers site · Apply there ↗
Nextdoor
Full-time · US Remote · $205,000 – $355,000
Nextdoor is seeking a machine learning engineer to build models that personalize content, ads, and connections across their neighborhood platform. This role suits someone with production ML experience who wants to work at scale on problems affecting millions of users, in a company that values ethical AI and uses generative tools as part of the standard workflow.
Listed on Nextdoor’s careers site · Apply there ↗
Blue Apron
New York, NY
Listed on Blue Apron’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
Quora
Remote - Multiple Locations, United States, Canada
Listed on Quora’s careers site · Apply there ↗
Unity
Listed on Unity’s careers site · Apply there ↗
Longs Drugs
New York, NY
Listed on Longs Drugs’s careers site · Apply there ↗
Juniper Networks
Sunnyvale, CA
Listed on Juniper Networks’s careers site · Apply there ↗
AeroVironment
Listed on AeroVironment’s careers site · Apply there ↗
Remote - United States
Listed on Reddit’s careers site · Apply there ↗