Note: The job is a remote job and is open to candidates in USA. Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. We are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for our next-generation data management and artificial intelligence platform for maritime domain awareness.
Responsibilities
- 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
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
- 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
- You must be willing to receive a Secret or Top Secret/SCI security clearance
- 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
Benefits
- 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.
- 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)
Company Overview