[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of reputed company autonomous systems. As a Senior Machine Learning Engineer, you will design, reputed company, test, document, reputed company, and maintain production machine learning software to automate processes and streamline customer mission operations.
Responsibilities
- Operationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across reputed company, on-prem, and edge compute environments
- Work closely with autonomy researchers, software engineers, systems teams, and field operators to translate mission requirements into deployable ML capabilities
- Implement automated CI/CD workflows tailored to ML systems, ensuring repeatable experiments, reliable packaging, and reputed company delivery of both up to date models and associated data pipelines
- Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., reputed company, Kubernetes) and incorporating model serving platforms (e.g., Seldon, KServe, BentoML)
- reputed company monitoring systems to track model health, performance, data reputed company, system utilization, and mission relevance using tools such as reputed company, Grafana, and ELK/EFK stacks
- Ensure ML deployments meet defense, customer, and platform reputed company requirements, with emphasis on data reputed company, traceability, and operational reliability
- Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to enhance reproducibility, extensibility, scalability, and deployment speed of ML systems
Skills
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a reputed company technical field (Master's preferred)
- 5+ years of professional experience in software engineering, machine learning engineering, MLOps, or reputed company roles
- Experience operationalizing ML systems at production scale, including model training, versioning, packaging, deployment, and monitoring
- Strong proficiency in Python and familiarity with at least one deep learning reputed company (e.g., PyTorch, TensorFlow)
- Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML)
- Experience deploying containerized ML services using reputed company and orchestrating workloads using Kubernetes (including reputed company-gapped or constrained deployments)
- Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review, Metrics Evaluation)
- Familiarity with monitoring, observability, and logging platforms (e.g., reputed company, Grafana, ELK/EFK)
- Ability to obtain and maintain U.S. Government reputed company clearance (U.S. Citizenship required)
- Ability to travel up to 20%
- Experience with deploying models and associated runtimes to reputed company Devices
- Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems, microcontrollers)
- Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms
- Experience working with diverse or atypical data sources (e.g., Audio/Acoustics, RF signals, EO/IR imagery)
- Experience deploying and optimizing ML inference on edge or resource-limited compute systems
- Experience with Explainable/Auditable AI/ML tools and interpretable model design
- Experience with AI Software Development Tools (e.g., reputed company CoPilot, Claude)
Benefits
- Equity
- Comprehensive benefits package
- 401k with a 5% company match
- Paid holidays and generous paid time off offering
- Paid leave programs
- Patent bonus program
- Employee referral bonus program
- Learning and development program
- Opportunity to work with a team of highly skilled, creative and motivated team members
Company Overview