ML Systems Engineer - Production Training & GPU Tuning

Park Lane Recruitment; New York (NY); On-site; USD 250,000 - 350,000; Full time

Benefits offered by this job

Relocation support

Sponsorship available

Elite total compensation

401(k) matching

Medical and prescription coverage

Wellness reimbursement

Family building support

Charitable gift matching

Job summary

Park Lane Recruitment is seeking an experienced ML/Infrastructure engineer in New York to build and optimize production ML systems, including training infrastructure and GPU-accelerated workloads.

The role emphasizes collaboration with researchers, rapid prototyping, memory tuning, and durable production deployments. Relocation sponsorship is available, with base salary of $250,000 to $350,000 and a guaranteed first-year bonus plus comprehensive benefits.

Qualifications

• 3 to 15 years of experience in ML engineering or distributed/infrastructure engineering.
• Hands-on ability with Python, PyTorch, JAX, CUDA and GPU computing tools.
• Experience building ML systems that moved to production with training infrastructure and optimization.

Responsibilities

• We build and optimize machine learning systems that move from research ideas into production use.
• We write custom GPU code and tune memory usage to reduce training time and remove performance bottlenecks.
• We design and improve training infrastructure so researchers can run more experiments faster without destabilizing systems or inflating compute costs.
• We develop first‑pass implementations of promising new techniques and validate them against real data.
• We help transition prototypes into durable production systems that can run continuously over time.
• We collaborate closely with researchers to turn conceptual architecture ideas into functioning systems.
• We influence technical direction by evaluating better approaches and building proof‑of‑concept solutions.
• We work across a small, senior team where everyone contributes directly and ships meaningful work.

Skills

Research collaboration

Translating ideas to systems

Education

Background in CS/Math/Physics/EE or quantitative discipline

Tools

Python

PyTorch

JAX

CUDA

Job description

Park Lane Recruitment is seeking an experienced ML/Infrastructure engineer in New York to build and optimize production ML systems, including training infrastructure and GPU-accelerated workloads.

The role emphasizes collaboration with researchers, rapid prototyping, memory tuning, and durable production deployments. Relocation sponsorship is available, with base salary of $250,000 to $350,000 and a guaranteed first-year bonus plus comprehensive benefits.