Machine Learning Engineer II

• Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
• Participate in all stages of the ML lifecycle, from problem framing and data exploration to model experimentation, deployment, and monitoring in production, ensuring the continuous improvement and optimization of our Agentic Systems.
• Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.
• Work closely with Data, Product, Design, and Engineering teams to design and develop Agents to enhance user experiences and meet business objectives.
• Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation.

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, with a strong focus on practical applications.
• Experience with all stages of the ML life-cycle including designing and experimenting to deploying and maintaining production systems.
• Strong proficiency in Python, with a solid understanding of best practices in software development.
• Experience working with machine learning libraries and frameworks for agent orchestration, such as LangGraph, pydanticAI, etc.
• Experience in agentic design, understanding user interactions, and evaluating agent performance to enhance user experiences.
• Demonstrated effective coding, documentation, collaboration, and communication habits.
• Strong problem-solving skills and a proactive approach to addressing challenges.
• Ability to adapt to a fast-paced and dynamic work environment.

• Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems
• Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost
• Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse
• Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite
• Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM
• Prototyping & Development : Claude Code, FastAPI, Streamlit, Gradio

At Kensho, we pride ourselves on providing top-of-market benefits, including:

• Medical, Dental, and Vision insurance
• 100% company paid premiums

• 26 weeks of 100% paid Parental Leave (paternity and maternity)
• 401(k) plan with 6% employer matching
• Generous company matching on donations to non-profit charities
• Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
• Plentiful snacks, drinks, and regularly catered lunches
• Dog-friendly office (CAM office)
• Bike sharing program memberships
• Compassion leave and elder care leave
• Mentoring and additional learning opportunities
• Opportunity to expand professional network and participate in conferences and events

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We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives.

Kensho is headquartered in Cambridge, MA, with an additional office location in New York City.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.