Machine Learning Engineer

New York, New York, United States

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$150,000 – $190,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Data & Analytics, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor’s degree or higher in Computer Science, Engineering, or a related field, along with 3+ years of hands-on experience in machine learning, natural language processing, information retrieval systems, and large-scale text processing, including designing, shipping, and maintaining production systems. Strong programming skills in Python, familiarity with data processing tools, and experience with ML frameworks such as PyTorch, Transformers, and HuggingFace are required, as well as experience working with vector databases like PGVector, OpenSearch, or Pinecone and understanding of similarity search techniques.

Responsibilities

The Machine Learning Engineer will design and implement end-to-end RAG pipelines, build and optimize retrieval systems over large datasets using advanced embedding techniques, develop LLM-based solutions for orchestrating retrieval and generation, investigate and solve challenges in vector search and indexing, collaborate with Product and Design teams to build ML solutions, and work with ML Operations to create automated solutions for managing the ML systems lifecycle. They will also contribute to enhancing user experiences and meeting business objectives, and adapt to a fast-paced work environment.

Skills

Machine Learning

Retrieval Models

Large Language Models (LLM)

Data Retrieval

Embedding Infrastructure

Natural Language Processing

System Design

Data Discovery

Scalable Infrastructure

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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