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ML Software Engineer

2 weeks, 6 days ago
United States
Full-time
Junior
Machine Learning Engineer
Software Development
CI/CD LLM MLOps Python PyTorch TensorFlow
Apply Now
Lever

Lever

Lever is a leading Talent Acquisition Suite that provides modern hiring and talent management solutions. Their applicant tracking system (ATS) with candidate relationship management capabilities empowers hiring teams to streamline recruiting efforts an...

Professional Services
251-1K
Founded 2012
$123M raised
View All Jobs 6

Description

  • Design and ship multimodal data pipelines for ingesting, validating, sharding, and packaging training data.
  • Build reproducible training and evaluation workflows, including manifests, checkpoints, and failure handling.
  • Implement and iterate on LLM, VLM, and VLA model architectures.
  • Own model code paths, tokenization, inference runners, and output heads for downstream consumers.
  • Integrate simulators for closed-loop evaluation and build tooling for metrics, visualization, and experiment management.
  • Deliver production-grade serving and inference tooling for deterministic, low-latency deployment on bench/mule systems and future vehicles.
  • Own systems end to end from architecture and implementation through testing, documentation, and iteration.
  • Improve code quality, reliability, and observability across the platform.

Requirements

  • MS in Computer Science, ML, or Robotics, or a BS plus 2+ years building ML, data, or evaluation systems.
  • Strong Python fundamentals, including data structures, testing, debugging, and modular design.
  • Track record of shipping production-quality code, APIs, and reliable automation.
  • Experience building data/ML pipelines and evaluation tooling.
  • Experience integrating training and inference with PyTorch, TensorFlow, or JAX.
  • Experience with dataset packaging, sharding, manifest formats, and integrity checks for large multimodal datasets.
  • Practical experience improving training or inference throughput and latency, including mixed precision, efficient batching, or model parallelism.
  • Experience with cloud storage, training workflows, containerization, CI/CD, and experiment observability.
  • Strong communication skills and the ability to work independently in a small, fast-moving team.
  • Prior work on perception, detection, or multimodal models is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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