Foresite Labs (Stealth Co)

Senior Staff Machine Learning Software Engineer

San Diego · Staff+ · Full-time

Sponsorship not specified$202k-$215kDetected 12 days ago

PythonC++AlgorithmsMachine LearningEmbedded SystemsResearchLeadershipWriting

About the role

Senior Staff Machine Learning Software Engineer Location: San Diego, CA Job Type: Full-Time Salary Range: $202K - 215K Sr.
Research code is only the starting point.
The strongest fit is someone who can explain the bottleneck they found, the number they moved, the tradeoff they accepted, and the test that kept the fix from regressing.

We are building a product where learned models and compute-heavy inference components have to run inside a tight local runtime budget.
This role owns the path from a working prototype to production inference that is measured, packaged, tested, and ready for repeated use in the field.
You will work closely with the people developing the underlying algorithms, but your ownership is different: production readiness, performance, reliability, and the engineering boundary between exploratory model work and shipped execution.
What You'll Own
Building inference-adjacent evaluation machinery: calibration checks, confidence behavior, regression detection, dataset slices, and failure-mode reporting tied to product metrics
Algorithm research and novel model design live on a separate track.
You will collaborate with that team, translate prototypes into production constraints, and surface shipping risks early when a design needs to change.

A PhD (6+ years), MS (10+ years) or BS/BA (12+ years) of experience in life sciences or technology.
Must have demonstrated leadership or ownership with 2 of the 5 areas referenced below successfully:
You have personally moved a model or learned component from prototype to deployed runtime with a real latency, throughput, memory, or power budget.
You can name the target, the bottleneck, and the change that closed the gap.
You have written production code in Rust or modern C++ where correctness, latency, memory layout, and ownership boundaries mattered.
You can reason about the runtime behavior of the code you ship, not just its API surface.

Real-time or near-real-time signal-processing systems
Products that combine learned models with deterministic numerical code
Rust- or C++-based inference or numerical pipelines, including custom FFI to CUDA, cuDNN, TensorRT, or similar accelerator libraries
We thrive on diversity and collaboration.
Rust at shipping depth, especially FFI boundaries, pyo3 / maturin, async runtimes, or performance-sensitive service code
Inference on constrained local hardware, embedded systems, edge devices, or budget-bound accelerator deployments
Quantization, mixed precision, model compression, or kernel fusion that shipped beyond a benchmark notebook
Calibration or confidence estimation used on production outputs, with monitoring or regression checks attached

Comfort using AI-assisted development tools while still owning correctness, tests, and review quality

This listing is sourced directly from Foresite Labs (Stealth Co)'s careers page and normalized into a canonical job model.