Machine Learning Engineer II

Kensho Technologies; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

Parental leave

401(k) matching

Tuition assistance

Dog-friendly office

Job summary

Kensho Technologies in New York, NY, seeks a mid-level Machine Learning Engineer to advance agentic AI systems and robust retrieval methods that connect data to insights. You will design and orchestrate intelligent agents, validate AI outputs, and build scalable systems across the ML lifecycle.

Join a collaborative team focused on innovative AI workflows for financial data, with a strong emphasis on production readiness, evaluation, and near-term impact.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• 3+ years of hands-on ML, NLP, and information retrieval experience.
• Experience across the ML lifecycle from problem framing to production deployment.
• Strong Python programming and software development practices.
• Experience with agent orchestration tools like LangGraph and LangFuse.

Responsibilities

• Solve challenges in agentic design and LLM orchestration, including context engineering and memory management.
• Participate in all stages of the ML lifecycle from data exploration to model deployment and monitoring.
• Leverage structured and unstructured data using NLP to extract business insights.
• Collaborate with Data, Product, Design, and Engineering to build Agents enhancing user experiences.
• Work with ML Ops to automate the ML lifecycle from design to deployment.

Skills

Python

NLP

Information retrieval

Agent orchestration

ML lifecycle

Education

Bachelor's degree or higher in Computer Science, Engineering, or related field

Tools

LangGraph

pydanticAI

LangFuse

Transformers

PyTorch

LightGBM

XGBoost

Job description

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

The Machine Learning (ML) Team at Kensho is redefining how powerful financial data fuels the next generation of data-driven AI workflows.

We are fundamentally shaping how AI-aided human interactions with complex financial data are facilitated. Our team focuses on creating agentic experiences that enable complex report generation, deep research workflows, and novel user journeys - all with robust evaluation. We are also at the forefront of developing novel methods for retrieving and synthesizing both structured (tabular data from relational databases) and unstructured data using natural language interfaces.

Our solutions are integrated into multiple S&P Global and third-party platforms, allowing our clients (1, 2) to leverage powerful financial data in ways that drive insights and support their strategic objectives.

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights.

If you are passionate about building the next wave of AI-driven products, thrive in a collaborative, fast-paced environment, and are eager to push the boundaries of what’s possible with data and intelligent agents, we would love to hear from you!

Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do

• 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.

What You'll Need

• 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.

Technologies & Tools We Use

• 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
• 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

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.

Location: New York, New York, United States