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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA

  • Seattle, WA

Responsibilities

  • Partner with scientists, engineers, and product managers to prototype AI research and turn promising technologies into products.
  • Architect and develop infrastructure for training, evaluating, deploying, monitoring, and improving ML models across cloud and device environments.
  • Work across model training and fine-tuning, large-scale evaluation, inference optimization, data pipelines, cloud infrastructure, and production ML systems.
  • Build reusable AI platforms, infrastructure, and developer tooling for experimentation and productionization.
  • Develop and operate generative AI systems using evaluation, fine-tuning, optimization, distillation, quantization, and scalable evaluation techniques.
  • Solve edge-and-cloud ML challenges involving model quality, latency, reliability, privacy, and cost.
  • Design secure and privacy-preserving AI systems and support responsible data use.
  • Translate state-of-the-art ML research into robust engineering systems and new training, evaluation, and deployment techniques.
  • Own technical problems end to end, influencing architecture and key technical decisions from experimentation through production.
  • Establish engineering practices for ML architecture, testing, observability, reproducibility, and responsible AI.
  • Mentor engineers, lead technical initiatives, and influence cross-team technical direction as the organization grows.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Electronics, Mathematics, or another highly technical field.
  • At least 6 years of software engineering experience, including deploying AI/ML models to production in the cloud.
  • Strong experience with cloud architecture and infrastructure as code.
  • Proficiency in Python and C++, with experience using PyTorch or TensorFlow.
  • Advanced hands-on knowledge of Linux environments and systems.
  • Strong problem-solving, software architecture, and design skills focused on robust, scalable, maintainable systems.
  • Ability to communicate and collaborate effectively with scientists, engineers, and product managers.
  • Preferred: Master’s degree or PhD in a relevant technical field.
  • Preferred: Experience with LLMOps, model evaluation, monitoring, quantization, distillation, and production deployment.
  • Preferred: Hands-on experience fine-tuning and optimizing large-scale models.
  • Preferred: Familiarity with model encryption, privacy-preserving machine learning, and secure AI techniques.

Benefits

  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all employees
  • Medical, dental, and vision plans
  • Fitness programs
  • Emotional and mental wellness support
  • Learning and development programs
  • Hybrid work in Seattle, Washington, with onsite work Tuesday through Friday and remote flexibility on Monday

Salary: $151k - $241k/yr

Axon

Axon is a leader in public safety technology, offering an innovative ecosystem of smart weapons, body cameras, and evidence management software. Our solutions are designed for law enforcement, militaries, and citizens, addressing society's most pressing safety and justice challenges.

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