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ML Software Engineer

13 hours, 8 minutes ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
CI/CD LLM Machine Learning 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
201-500
Founded 2012
$123M raised
View All Jobs 2

Description

  • Design and ship multimodal data pipelines for ingestion, validation, sharding, and packaging.
  • Build reproducible training and evaluation workflows, including manifests, checkpoints, and failure handling.
  • Implement and iterate on LLM, VLM, and VLA architectures, including model code, tokenization, inference runners, and output heads.
  • Integrate and operate simulators for closed-loop evaluation.
  • Develop tooling for metrics, visualization, and experiment management.
  • Deliver deterministic, low-latency serving and inference tooling for bench, mule, and future vehicle deployments.
  • Own system architecture, implementation, testing, documentation, and iteration while improving code quality, reliability, and observability.

Requirements

  • MS in Computer Science, Machine Learning, 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 and ML pipelines, evaluation tooling, and integrated training and inference workflows.
  • Experience with PyTorch, TensorFlow, or JAX.
  • Experience packaging, sharding, validating, and managing large multimodal datasets.
  • Experience improving training or inference throughput and latency through techniques such as mixed precision, efficient batching, or model parallelism.
  • Experience with cloud storage, training workflows, containerization, CI/CD, and experiment observability.
  • Strong communication, collaboration, and independent ownership in a fast-moving team.
  • Prior experience with perception, detection, or multimodal models (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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