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Jobs(30,434)/Machine Learning Engineer Role(358)/Legion Intelligence (4) - Staff Applied Machine Learning Engineer
Legion Intelligence

Legion Intelligence - Staff Applied Machine Learning Engineer

Remote - San Francisco (Remote)$205k - $260k5mo ago
RemoteSeniorNAGovernmentArtificial IntelligenceMachine Learning Engineerscikit-learnPyTorchLearning & DevelopmentKubernetes

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP • Minimum 5+ years of experience in applied machine learning, with a track record of delivering enterprise products • Proven experience in Generative AI, including fine-tuning, optimizing, and evaluating LLMs, RAG pipelines, and Agentic AI systems • Strong proficiency with AI/ML/NLP techniques, resources and methodologies (ex: Huggingface, Spacy, Scikit-learn, Pytorch). • Strong communication skills and the ability to collaborate effectively with cross-functional teams • Comfortable supporting production systems and debugging challenges in distributed systems • Demonstrated effectiveness in using AI tooling to accelerate research and development workflows • Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and being open to changing course when it’s right • Start-up experience or comfort in 0→1 product environments. • Familiarity with Kubernetes is a plus. • Experience integrating machine learning models and data driven algorithms into larger system architectures.

Responsibilities

• Lead the development of machine learning models and data-driven algorithms for high impact projects • Collaborate with product and platform teams to own ML solutions end-to-end • Understand the runtime complexity of algorithms and the cost to run ML models at a production scale • Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders • Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast • Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion • Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime • Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company

Benefits

• $230,000 - $270,000 USD • Equal Opportunity Statement

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