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15 open listings
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
Deepgram
USA - Remote · $155,000 – $245,000
This role adapts Deepgram's speech AI models to run on non-GPU edge hardware and embedded platforms, handling quantization, operator substitution, and deployment automation to get production models onto customer devices with minimal changes. It suits an experienced engineer who has shipped models to constrained hardware and wants to own that process across many platforms.
Listed on Deepgram’s careers site · Apply there ↗
Opus Clip
Mountain View, CA · $280,000 – $380,000
OpusClip seeks a hands-on AI researcher to lead the development and optimization of machine learning models powering their video platform, from training through production deployment. This role combines deep technical expertise in model training and inference optimization with team leadership, suited for someone who has shipped AI systems at scale and enjoys both individual technical contribution and mentoring.
Listed on Opus Clip’s careers site · Apply there ↗
SAP
Full-time · Potsdam, DE, 14469
Design and lead the AI infrastructure for a distributed platform enabling foundation model training and deployment across enterprises. This role suits architects with deep expertise in large-scale ML systems who can bridge research, product, and engineering teams while navigating complex federated environments.
Listed on SAP’s careers site · Apply there ↗
Samsung Semiconductor
This is a referral program inviting you to recommend candidates with software engineering expertise across multiple domains including C++, AI/ML, cloud platforms, and hardware design. Samsung SRI-B is seeking talented engineers across various specializations from entry-level to experienced professionals.
Listed on Samsung Semiconductor’s careers site · Apply there ↗
Unity
Full-time · 3 locations · $218,400 – $283,900
This role involves optimizing state-of-the-art AI models to run efficiently on mobile and desktop devices within a browser-native runtime, handling everything from model export through kernel-level tuning to shipped features. It's ideal for a performance-focused engineer who thrives on closing the gap between research models and production on-device products, working with transformers, diffusion networks, and vision-language models across constrained hardware.
Listed on Unity’s careers site · Apply there ↗
NIO
Full-time · San Jose, CA · $192,100 – $249,600
NIO is hiring a senior engineer to build production inference systems for large language and vision models across cloud and edge devices in their autonomous vehicle platform. This role suits someone with deep experience optimizing AI workloads on accelerators who wants to ship real-world impact at scale.
Listed on NIO’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 ↗
Modal
New York, NY · $150,000 – $350,000
Modal is hiring a researcher to drive inference optimization for their AI infrastructure platform, focusing on techniques like speculative decoding and quantization that reduce cost-per-token and latency for production LLM workloads. This role suits someone with a background in LLM systems who can own research projects end-to-end, collaborate with customers and external labs, and ship work that becomes part of Modal's serving stack.
Listed on Modal’s careers site · Apply there ↗
Crusoe
Bellevue, WA · $280,000 – $300,000
This role is the public face of Crusoe Cloud to developers and technical decision makers, combining technical credibility with content creation and community engagement to build awareness and adoption. You'll create short-form video, define developer engagement strategy, and personally represent the company at events and across social platforms to technical audiences.
Listed on Crusoe’s careers site · Apply there ↗
Pika Labs
US remote · $250,000 – $350,000
A senior or staff-level role optimizing AI model inference performance at a video generation startup. This suits engineers with deep expertise in GPU acceleration, distributed systems, and deploying large language models and video models efficiently at scale.
Listed on Pika Labs’s careers site · Apply there ↗
Zilliz
Redwood City · $175,000 – $250,000
Zilliz seeks a senior engineer to develop vector indexing algorithms and systems for their database platform, blending research exploration with production engineering. This role suits someone who enjoys reading research papers and prototyping new ideas but also has the discipline to ship performant, reliable code at scale.
Listed on Zilliz’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 ↗
Together AI
Full-time · San Francisco, CA · $270,000 – $300,000
A technical specialist working directly with large customers to optimize AI model inference and fine-tuning on production systems. This role suits engineers with deep expertise in LLM deployment and performance tuning who want to work closely with strategic customers while influencing product direction.
Listed on Together AI’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $280,000 – $850,000
This role focuses on solving large-scale systems challenges that emerge when training and running machine learning models at Anthropic's scale. You'll optimize the throughput and robustness of distributed systems, potentially working on GPU kernels, load balancing, fault tolerance, and performance debugging—ideal for someone with strong systems engineering or supercomputing background who wants to deepen ML expertise.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Deepgram
USA - Remote · $219,300 – $274,100
This role involves optimizing Deepgram's voice AI models to run efficiently on embedded hardware and non-NVIDIA accelerators through custom kernel development, quantization, and low-level tuning. It suits experienced embedded systems engineers who thrive solving hard optimization problems under tight resource constraints and want to make large models viable on small devices.
Listed on Deepgram’s careers site · Apply there ↗