adaption

Inference Engineer

San Francisco FullTime Remote
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Job Description

THE ROLE You'll own the cost and performance of our inference stack. Your work will determine how efficiently we serve models as workloads, traffic, and hardware change. You'll work closely with the engineers operating the serving fleet while owning the core performance levers: caching, batching, quantization, decoding, and kernel-level optimization. Success means improving throughput and latency without compromising reliability or model quality. RESPONSIBILITIES - Improve throughput, cost, and tail latency through KV-cache management, continuous batching, speculative decoding, and quantization. - Optimize long-context prefill and decode workloads based on real production traffic. - Tune routing between our infrastructure and external providers based on cost, capacity, and performance. - Work within serving engines such as vLLM, SGLang, and TensorRT-LLM, going below the framework when needed. - Build profiling and measurement systems that show where time, memory, and compute are being spent. QUALIFICATIONS - 5+ years in ML systems, inference infrastructure, or performance engineering, with measurable improvements in cost or latency. - Deep understanding of model serving, including prefill and decode, memory bandwidth, batching, and concurrency. - Production experience with serving engines such as vLLM, SGLang, or TensorRT-LLM. - Strong Python skills and proficiency in C++, Rust, or another systems language. - Experience with GPU performance, including CUDA, NCCL, mixed precision, memory layout, kernels, or quantization. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box. ABOUT US Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence. BENEFITS - Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites. - Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons. - Lunch Stipend: Weekly meal allowance for take-out or grocery delivery. - Well-Being: Comprehensive medical benefits and generous paid time off.

Frequently Asked Questions

What does the Inference Engineer role at adaption involve?

The Inference Engineer position at adaption in San Francisco is a fulltime role. THE ROLE You'll own the cost and performance of our inference stack. Your work will determine how efficiently we serve models as workloads, traffic, and hardware change. You'll work closely with the engineers operating the serving fleet while owning the core performance levers: caching, batching, quantization, decoding, and kernel-level optimization. Success means improving throughput and latency without compromising reliability or model quality. RESPONSIBILITIES - Improve throughput, cost, and tail latency through KV-cache management, continuous batching, speculative decoding, and quantization. - Optimize long-context prefill and decode workloads based on real production traffic. - Tune routing between our infrastructure and external providers based on cost, capacity, and performance.

What skills are required for Inference Engineer at adaption?

Key skills for this role include: Python, GO, Rust, C++, RDS, LLM.

What is the salary for Inference Engineer at adaption?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Inference Engineer position at adaption remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for Inference Engineer at adaption?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Inference Engineer at adaption is a fulltime engineering position in San Francisco. Key skills include Python, GO, Rust, C++, RDS, LLM. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as remote and is suitable for mid level-level professionals. Ghost Score 15/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.