Machine Learning Engineer Full-time

About the Role:

Grade Level (for internal use):
03

Who We Are

Kensho is a 120-person AI and machine learning company within S&P Global. We provide ML and AI solutions centered around providing innovative solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions involve natural language processing (NLP) and include speech recognition (ASR), entity linking, structured document extraction, record linkage, text classification, and more. We are continuously expanding our portfolio and are looking for passionate people to help us build and deploy state-of-the-art models across a variety of domains!

About Team

Kensho Link is a machine learning service that allows users to map entities in their datasets with unique ID numbers drawn from S&P Global’s world-class company database with precision and speed. Link started as an internal Kensho project to help S&P Global Market Intelligence and CapIQ integrate datasets more quickly into their platform. It uses ML based algorithm trained to return high quality links, even when the data inputs are incomplete or contain errors. Link leverages a variety of NLP and ML techniques to process and link millions of company entities in hours. As a team, we have expertise in classical ML algorithms and modern LLM-based tech stacks like RAG systems.

About The Role

As a Machine Learning Engineer, you will have end-to-end ownership of the Link application, driving its development and success. This role is perfect for you if you thrive on creating ML models and have a keen interest in the software engineering aspects of machine learning (MLOps). For example, your responsibilities will include:

• Model deployment and optimization

• Debugging performance discrepancies between online and offline environments

• Ensuring feature synchronization

• Optimizing memory and compute resources

• Scaling ML systems for maximum efficiency

Why Join Us?

We are continuously expanding our portfolio of projects and are eager to find talented engineers who are excited about building and deploying state-of-the-art ML systems. We are seeking a mid-level Machine Learning Engineer who can help accelerate and refine our ML development cycle, setting new standards for prototyping, building, and maintaining cutting-edge ML solutions.

What You’ll Do

• Develop Advanced ML Models: Create innovative machine learning models to address complex business challenges and drive value.

• Enhance Model Performance: Identify and resolve performance gaps in existing models with creative and effective solutions.

• Leverage Unique Data: Work with proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build impactful solutions.

• Optimize Application Scaling: Efficiently scale ML applications to maximize compute resource utilization and meet high customer demand.

• Address Technical Debt: Proactively identify and propose solutions to reduce technical debt within the tech stack.

• Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement.

• Collaborate Across Teams: Partner with cross-functional teams, including Data, Product Management, Design, and Engineering, to ensure smooth operations and contribute to the future product vision.

• Lead ML Projects: Oversee the development of core capabilities by scoping and planning ML projects effectively.

• Enhance User Experiences: Collaborate with Product and Design teams to develop ML-based solutions that enhance user experiences and align with business goals.

Who You Are

• 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, including designing, shipping, and maintaining production systems.

• Strong proficiency in Python.

• Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.

• 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.

• [optional] Experience developing search or recommender systems

• [optional] Experience working with databases and other datastores

• [optional] Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, Semantic Kernel, LLamaIndex, etc.

Technologies We Love

• Traditional ML: SKLearn, XGBoost, LightGBM

• ML/Deep Learning: PyTorch, Transformers, HuggingFace, LangChain

• Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS

• EDA/Visualization: Pandas, Matplotlib, Jupyter, Weights & Biases

• Tools/Toolkits: DVC, MosaicML, NVIDIA NeMo, LabelBox

• Techniques: RAG, Prompt Engineering, Information Retrieval, Data Embedding

• Datastores: Postgres, OpenSearch, SQLite, S3

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We’re more than 35,000 strong worldwide-so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world’s leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Inclusive Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision – https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

20 – Professional (EEO-2 Job Categories-United States of America), BSMGMT203 – Entry Professional (EEO Job Group)