Axon
Sr Machine Learning Engineer I
Seattle, Washington, United States · Senior
Sponsorship not specified$151k-$241kDetected 5 hours ago
PythonAlgorithmsCI/CDMachine LearningTensorFlowPyTorchMLOpsStatisticsComplianceIntellectual PropertyEmbedded SystemsElectrical EngineeringSensorsResearchCommunicationCollaborationMentoring
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software.
- Like our products, we work better together.
Responsibilities
- Research and develop advanced multi-sensor fusion and multi-target tracking methodologies.
- Design probabilistic models and state estimation frameworks for radar, RF, optical, and other sensing modalities.
- Develop and evaluate algorithms such as Kalman filters (EKF/UKF), particle filters, Bayesian filters, probabilistic data association, and multi-hypothesis tracking.
- Analyze real-world datasets to validate model assumptions, quantify uncertainty, and improve robustness.
- Partner closely with software engineers to transition validated algorithms into scalable, production-ready systems.
- This role offers the opportunity to translate cutting-edge theory into deployed systems that support critical safety missions worldwide.
- We are also committed to building diverse teams that reflect the communities we serve.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field - or equivalent hands-on experience building ML systems in production.
- Well-developed proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience deploying ML systems in production environments (cloud, edge, or embedded systems).
- Familiarity with MLOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining workflows.
- Experience working with large, noisy, or multi-modal datasets.
- 8+ years of experience developing and deploying machine learning systems in real-world applications.
- Solid understanding of statistics, model evaluation, and performance trade-offs.
- Clear communication skills and a collaborative mindset aligned with Axon's values: Aim Far, Win Right, Own It, Join Forces, and Be Obsessed with the Customer.
- Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
Skills
- Join Axon and be a Force for Good.
- Life at Axon is fast-paced, challenging and meaningful.
Compensation
- $150,750 - $241,200 USD
- Competitive salary and 401k with employer match
Benefits
- Emotional & Mental Wellness support
- Learning & Development programs
Company info
- At Axon, we're on a mission to Protect Life.
- We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
- If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways.
Equal opportunity
- We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Visa & Work Authorization
- ardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status
This listing is sourced directly from Axon's careers page and normalized into a canonical job model.