Software Machine Learning Engineer

• Design and implement pipelines for training, evaluation, and deployment of ML models
• Apply graph ML methods to model relationships in structured and unstructured data
• Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks
• Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems
• Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems
• Assist in defining evaluation metrics and validation strategies for ML models
• Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions
• Contribute to improving ML infrastructure, tooling, and best practices

• 2+ years of experience in machine learning, applied AI, or related fields
• Hands-on experience building and deploying ML models
• Exposure to production ML systems (MLOps, monitoring, deployment) is desirable
• Ability to work collaboratively across teams
• Strong analytical and problem-solving skills
• Basic understanding of software engineering practices and version control
• Ability to work cross-functionally with product, software, and hardware teams
• Strong communication skills
• comfortable engaging directly with customers and stakeholders
• Strong problem-solving and reasoning skills
• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience)

Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus

Medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more