Über
Step into a high-impact Applied Machine Learning Systems Engineer opportunity with a confidential client, where you will help drive meaningful results across Banking / Lending/ Financial Services, Information Technology, Software. This role offers the chance to make a visible contribution in New York, New York, USA while supporting ambitious technical and operational goals. Your Key Responsibilities
Lead core execution for the Applied Machine Learning Systems Engineer role across day to day priorities, technical problem solving, and cross functional coordination. Drive high quality outcomes for projects based in New York, New York, USA while maintaining strong operational discipline. Partner with internal stakeholders, vendors, and production teams to move work from planning into successful delivery. Improve process stability, quality, and throughput through disciplined analysis and practical execution. Support issue resolution, technical decision making, and continuous improvement activity across the function. Document results clearly and communicate progress, risks, and recommendations to the broader team. Contribute hands-on expertise in support of schedule, quality, and business objectives. What You Bring to the Role
What matters most: You've actually built ML systems that went to production — not just trained models in notebooks. You know the difference between "it works on my machine" and "it works at scale, reliably, for months" You're comfortable working at the hardware level when needed — GPU programming, memory optimization, custom kernels. You don't treat the infrastructure as someone else's problem You can move fast without cutting corners. The ability to prototype quickly is essential, but so is knowing when something needs to be built properly You've partnered with researchers before and know how to translate "I think this architecture might work" into "here's a running system that proves it does (or doesn't)" You stay current with ML research not because someone tells you to, but because you're genuinely curious about what's new and how it could be applied Technical environment includes: Python, PyTorch, JAX, CUDA, and related GPU computing tools. Experience with distributed training and large-scale data pipelines is valuable. What's In It For You
Top tier compensation and benefits, with source-aligned pay details of 500000-1500000 US Dollars per annual salary. Relocation support is available, creating a smoother path for the right hire to step into the role. The compensation alone makes this worth a conversation — base salary is $250K–$350K, and there’s a guaranteed bonus in your first year on top of that, plus a sign-on. Total comp is genuinely best-in-class.
Sprachkenntnisse
- English
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