Machine Learning Performance Engineer

Goliath Partners ยท NY
Pay$200k โ€“ $300k
PostedNov 11, 2026
LevelMid level
In short Goliath is partnered with an established quantitative trading firm seeking an engineer to improve the performance of machine learning models in production.
PYTHONPYTORCHMACHINE LEARNING

๐Ÿ“‹ About the job

Goliath is partnered with an established quantitative trading firm seeking an engineer to improve the performance of machine learning models in production.

Working within its central engineering group, youโ€™ll tackle the hardware and software challenges behind fast, reliable inference. The work combines hands-on GPU optimization with broader decisions about how and where models should run, alongside specialists in machine learning, computing infrastructure, and hardware acceleration.

They are currently looking for a Machine Learning Performance Engineer based in New York.

  • Write and tune GPU kernels to accelerate production inference
  • Investigate performance bottlenecks, from memory access patterns to communication between hardware components
  • Reduce model size and computational demands while preserving numerical stability
  • Compare hardware options and help determine the best deployment approach for demanding trading workloads
  • Partner with researchers and engineering teams to bring optimized models into production

Essential Skills

  • 2+ years improving deep learning inference performance in production environments where speed or throughput is critical
  • Strong Python and C++, with experience working beneath the high-level APIs of frameworks such as PyTorch or JAX
  • Practical experience developing custom GPU kernels and using inference optimization tools
  • Detailed knowledge of GPU execution, memory behavior, and mixed-precision computation
  • A measurement-driven approach to profiling systems and comparing performance across different hardware architectures

Preferred Skills

  • Experience deploying or optimizing models on FPGAs or ASICs
  • Familiarity with inference workloads where individual predictions must be delivered with exceptionally low latency
  • Candidates from outside financial services are welcome; trading experience is not required.

Compensation

  • $200Kโ€“$300K base salary plus discretionary bonus
  • Would this interest you? If so, apply & Goliath will be in contact!
Interested in this role?Apply in one click โ€” no JobQ account needed.
Apply now โ†’
Machine Learning Performance EngineerGoliath Partners
Apply now