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Machine Learning Algorithms Jobs in Princeton, NJ

S&P Global

Machine Learning Engineer II

New York, NY · On-site

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms ...

Saransh Inc

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems. * Collaborate with data scientists, software engineers, and product ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus * Results oriented ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Write production code implementing predictive models and algorithms. Write tests to ensure the ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

IBM

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and ...

Peloton

Machine Learning Engineer III

New York, NY · Hybrid

... algorithms * Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for ... MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational ...

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Machine Learning Algorithms information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do machine learning algorithms jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning algorithms in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What are machine learning algorithms?

Machine learning algorithms are computational methods that enable computers to learn patterns and make decisions or predictions from data without being explicitly programmed for each task. These algorithms can be classified into categories such as supervised learning, unsupervised learning, and reinforcement learning, each suited for different data and goals. Examples include decision trees, support vector machines, neural networks, and clustering algorithms. The choice of algorithm depends on the type of problem, the nature of the data, and the desired outcome.

What are the key skills and qualifications needed to thrive as a machine learning algorithms engineer?

To excel as a Machine Learning Algorithms Engineer, you need a solid background in mathematics, statistics, programming (especially Python or R), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow, PyTorch, or scikit-learn), data preprocessing tools, and cloud platforms is typically required, along with knowledge of version control systems. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualities are critical for designing robust models, collaborating with cross-functional teams, and translating complex data into actionable solutions.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning algorithms specialist?

As a Machine Learning Algorithms specialist, collaborating with cross-functional teams such as data engineers, software developers, and product managers can present challenges like aligning on project goals, communicating complex technical concepts to non-experts, and integrating models into existing systems. It's important to establish clear communication channels, define shared objectives early, and actively participate in iterative feedback cycles. These practices help ensure that machine learning solutions are both technically sound and aligned with business needs.

What is the difference between Machine Learning Algorithms vs Data Scientists?

AspectMachine Learning AlgorithmsData Scientists
CredentialsKnowledge of algorithms, programming, statisticsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentDeveloping, testing, and tuning algorithmsAnalyzing data, building models, interpreting results
Industry UsageEmbedded within data science workflows and toolsLeading data analysis projects, decision-making

While machine learning algorithms are the core tools used by data scientists, the role of a data scientist encompasses understanding, applying, and interpreting these algorithms within broader data analysis and business contexts. Machine learning algorithms are technical components, whereas data scientists integrate these tools to derive insights and inform strategies.

What careers are there in machine learning algorithms?

Careers in machine learning algorithms include roles such as machine learning engineer, data scientist, research scientist, and AI developer. These positions typically require skills in programming, statistics, and familiarity with tools like Python, TensorFlow, or PyTorch, and often involve developing models, analyzing data, and deploying AI solutions.

What are popular job titles related to Machine Learning Algorithms jobs in Princeton, NJ?

For Machine Learning Algorithms jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Algorithms jobs in Princeton, NJ look for?

The top searched job categories for Machine Learning Algorithms jobs in Princeton, NJ are:

Machine Learning Algorithms jobs near you
Infographic showing various Machine Learning Algorithms job openings in Princeton, NJ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 70% Full Time, 26% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Machine Learning Engineer II

New York, NY • On-site

S&P Global, Inc.
See more jobs at S&P Global, Inc.external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

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 DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources.
Our mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms.
We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking.
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:
  • Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents
  • Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques
  • Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses
  • Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG
  • Work closely with Product and Design teams to build ML-based solutions that 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

Who 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), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems
  • Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace
  • Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, LLamaIndex, etc.
  • Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
  • Experience working with vector databases (e.g., PostgreSQL/PGVector, OpenSearch, Pinecone) and understanding of similarity search techniques and vector indexing algorithms
  • 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 We Love:
  • ML: PyTorch, Transformers, HuggingFace, LangChain
  • Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM
  • Techniques: Agentic Search, Prompt Engineering, Information Retrieval, Data Embedding, AI agent evaluation
  • Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS, Github Action

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

Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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.

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