AI/ML Manager

Job Description: • Lead by doing – Design, build, and deploy production-grade ML models and pipelines while mentoring a small team of engineers and data scientists. • Architect scalable AI systems – Build end-to-end AI solutions from data ingestion through inference, ensuring reliability, observability, and performance across distributed environments. • Collaborate cross-functionally – Work closely with product, data, and platform engineering teams to translate complex business challenges into ML-driven solutions. • Own the ML lifecycle – Oversee model training, validation, deployment, and continuous monitoring using modern MLOps practices and tooling. • Experiment and innovate – Apply state-of-the-art machine learning and generative AI techniques to improve product capabilities and customer outcomes. • Establish best practices – Set standards for reproducible research, model explainability, and responsible AI implementation. • Optimize performance – Tune models and infrastructure for accuracy, latency, and cost. • Provide technical leadership and mentorship – Guide architectural decisions, design reviews, and technical standards. • Communicate Impact – Present insights to technical and non-technical stakeholders, influencing product strategy through data-driven recommendations. • Stay ahead of the curve – Evaluating emerging ML frameworks, architectures, and tools to accelerate innovation Requirements: • Bachelor’s degree in computer science, Applied Mathematics, Physics, or a related technical field. • 6+ years in software engineering, data science, or applied machine learning. • 2+ years managing technical teams. • Proven experience building and deploying ML models using Python, PyTorch, TensorFlow, or similar frameworks. • Experience with data pipelines and orchestration tools (e.g., Databricks). • Strong background in sensor data processing, time-series analysis, and computer vision or tracking algorithms. • Experience deploying ML models in production environments, including cloud or containerized deployments (AWS GovCloud, Azure Gov, or on-prem). • Demonstrated leadership, mentorship, and project execution skills. • Excellent communication and technical documentation skills. • Eligibility for US security clearance. Benefits: • Global workforce: flexible remote/hybrid opportunities • Work on complex, meaningful missions with real-world impact • Unlimited paid time off for most roles • Competitive salary and equity packages • Comprehensive health, dental, and vision coverage • Access to the forefront of commercial space operations and defense innovation Apply tot his job