Machine Learning Engineer II

Build agentic AI systems for financial data at an onsite role in New York, focused on LLM orchestration, retrieval, evaluation, and end-to-end ML lifecycle delivery.

Responsibilities

• Address agentic design and LLM orchestration challenges, including context engineering, data access patterns, memory management, and agent performance evaluation to ensure solutions meet user needs.
• Contribute across the machine learning lifecycle, from problem framing and data exploration through experimentation, deployment, and production monitoring to continuously improve Agentic Systems.
• Work with proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and deliver business value.
• Partner with Data, Product, Design, and Engineering teams to design and develop Agents that improve user experiences and align with business objectives.
• Collaborate with ML Operations to automate the ML systems lifecycle, from initial technical design through implementation.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of significant, hands-on industry experience in machine learning, NLP, and information retrieval systems, with a strong emphasis on practical applications.
• Experience covering all phases of the ML lifecycle, including designing, experimenting, deploying, and maintaining production systems.
• Strong Python skills and familiarity with software development best practices.
• Experience with machine learning libraries and frameworks used for agent orchestration, such as LangGraph and pydanticAI (and similar tools).
• Experience with agentic design, including understanding user interactions and evaluating agent performance to improve user experience.
• Proven habits for effective coding, documentation, collaboration, and communication.
• Strong problem-solving skills and a proactive approach to tackling challenges.
• Ability to adapt in a fast-paced, dynamic environment.

Technologies

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

Benefits

• Medical, Dental, and Vision insurance
• 100% company paid premiums
• Unlimited Paid Time Off
• 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

Compensation & Location

• Location: New York, NY (onsite)
• Salary: USD 140,000 - 180,000 per year

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