Machine Learning Engineer

What You'll Do

• We're a small team wearing many hats, and you'd have a wide variety of responsibilities that include:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions

Who You Are

• We're looking for someone with strong Machine Learning Engineering skills who shares our most important values:
• You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.
• You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.
• You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.
• You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.
• You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.
• You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.

Why Work With Us

• We ship — We don't work on 18-month projects that are irrelevant before they're even finished.
• Our work has impact — We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture.
• We're growing responsibly — We have the resources to hire a lot more people, but we don't want to build a massive team of people who don't share our values.
• We're remote — Work from wherever you want. We collaborate in real time on Slack or asynchronously via GitHub.
• We're profitable — We aren't burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success.
• We care about doing great work — You don't need permission to sweat the details here.
• We don't take ourselves too seriously — We're building products that make the world safer. But we don't let that get to our heads.

Important Skills

• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation

Nice To Have

• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries

What We Offer

• Unlimited PTO — Take the time you need to recharge and maintain work-life balance.
• Dedicated Sick Time — Your health and well-being come first.
• Comprehensive Health & Benefits — Medical, dental, and vision coverage to keep you and your family protected.
• 11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend with loved ones.
• Professional Development — Educational opportunities and resources to help you grow your skills and advance your career.
• Collaborative Environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.
• Mission-Driven Work — Contribute to projects that directly support national security and make a real-world impact.
• Growth Opportunities — Join us during an exciting expansion phase where you can help shape our future.

Additional Benefit Opportunities When You Choose Spear AI:

• 401(k) with company match
• Onsite / Remote / Flexible work arrangements or hybrid options (position dependent)
• Relocation assistance (position dependent)
• Referral bonuses
• Performance bonuses
• Life insurance and disability coverage
• Technology home office setup stipend
• Professional certification reimbursement (position dependent)