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Full Time Machine Learning Engineer New Grad Jobs in New York

Machine Learning Engineer

New York, NY ยท On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

The minimum and maximum full-time annual salaries for this role are listed below, by location ... New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in ...

Lead Machine Learning Engineer

Manhattan, NY ยท On-site +1

$112K - $148K/yr

The minimum and maximum full-time annual salaries for this role are listed below, by location ... New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in ...

Lead Machine Learning Engineer

New York, NY ยท On-site

$112K - $147K/yr

The minimum and maximum full-time annual salaries for this role are listed below, by location ... New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in ...

Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...

We are looking for an engineer with robust experience in machine learning and strong mathematical ... to incorporate new ideas with relatively little friction. Our ML team is full of people with a ...

We are looking for an engineer with robust experience in machine learning and strong mathematical ... to incorporate new ideas with relatively little friction. Our ML team is full of people with a ...

New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Add new features to our simulators * Own visibility into GPU cluster utilization - track allocation ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Add new features to our simulators * Own visibility into GPU cluster utilization - track allocation ...

Showing results 41-60

Full Time Machine Learning Engineer New Grad information

What does a full time machine learning engineer new grad do?

A Full Time Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models as part of a technical team. They often work on tasks such as data preprocessing, developing and testing algorithms, and integrating models into production systems. New grad engineers usually collaborate with data scientists, software engineers, and product teams to solve real-world problems using machine learning. Their responsibilities also include staying updated with the latest advancements in the field and learning best practices for model development and deployment.

What are the key skills and qualifications needed to thrive as a full time machine learning engineer new grad, and why are they important?

To excel as a Full Time Machine Learning Engineer New Grad, you typically need a solid background in computer science, statistics, and mathematics, often demonstrated through a relevant degree or coursework. Familiarity with programming languages like Python, and experience with machine learning libraries such as TensorFlow or PyTorch, as well as tools for data analysis and version control, are essential. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help new grads stand out in collaborative and fast-paced environments. These skills and qualities are crucial for building effective models, working well within teams, and adapting to the rapidly evolving field of machine learning.

What are some common challenges new graduates face when transitioning into a full-time machine learning engineer role?

New graduates entering a full-time Machine Learning Engineer position often encounter challenges such as adapting to large-scale production systems, collaborating with cross-functional teams, and bridging the gap between academic projects and real-world business problems. Unlike school assignments, industry projects require scalable, maintainable code and thorough documentation. Additionally, new grads must quickly learn to communicate their technical findings to non-technical stakeholders and prioritize tasks amid fast-paced development cycles.

What is the difference between Full Time Machine Learning Engineer New Grad vs Data Scientist New Grad?

AspectFull Time Machine Learning Engineer New GradData Scientist New Grad
Required CredentialsBachelor's in CS, Math, or related; some internshipsBachelor's in Statistics, CS, or related; some internships
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/C++Analyzing data, creating reports, statistical modeling
Industry UsageTech, finance, healthcare, focusing on ML systemsTech, marketing, finance, focusing on data analysis

Full Time Machine Learning Engineer New Grad roles focus on building and deploying machine learning models, requiring coding and engineering skills. Data Scientist New Grad roles emphasize data analysis, statistical modeling, and insights. Both roles often share similar educational backgrounds but differ in daily tasks and technical focus.

Are full time machine learning engineers still in demand?

Full time machine learning engineers are currently in high demand due to the growth of AI applications across industries. Employers seek professionals skilled in programming, data analysis, and tools like Python, TensorFlow, and PyTorch to develop and deploy machine learning models. The role remains a strong career choice with competitive salaries and opportunities for advancement.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in New York?

The most popular types of Machine Learning Engineer New Grad jobs in New York are:

What job categories do people searching Full Time Machine Learning Engineer New Grad jobs in New York look for?

The top searched job categories for Full Time Machine Learning Engineer New Grad jobs in New York are:

What cities in New York are hiring for Full Time Machine Learning Engineer New Grad jobs?

Cities in New York with the most Full Time Machine Learning Engineer New Grad job openings:

Infographic showing various Full Time Machine Learning Engineer New Grad job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Spgi

New York, NY โ€ข On-site, Remote

$209K - $250K/yr

Full-time

Medical, Retirement

Posted 26 days ago


Job description

About the Role:

Grade Level (for internal use):

11

Company Name: Kensho Technologies LLC

Job Title: Machine Learning Engineer

Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office)

Job Duties: Kensho Technologies LLC seeks a Machine Learning Engineer who will identify, research, prototype, and build predictive data-driven products based on statistical analysis and machine learning. Conduct original research and data analysis on large proprietary and open-source data sets to identify interesting patterns, associations, correlations, outliers, and anomalies. Formulate and test hypotheses about the distributions and regularities underlying the data. Design, implement, and evaluate statistical and machine learning models for explaining and predicting patterns in vast amounts of financial data, including financial documents. Write production code implementing predictive models and algorithms. Write tests to ensure the robustness and reliability of productionized models. Conduct peer review of research, prototypes, models, and code. Remain current in the theory and application of statistical and machine learning techniques. Maintain and acquire expertise with tools and packages for numerical and statistical programming, data analysis, and machine learning modeling.

Job Requirements: Master's degree in Computer Science, Statistics, Data Science, or related quantitative field plus one (1) year of experience in data science or a related quantitative occupation. One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn; Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model (LLM) code generation and tool utilization.

The anticipated base salary range for this position is $209,000 to $250,300. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Kensho Technologies LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us.

THIS NOTICE IS BEING POSTED AS THE RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION. ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION TO THE CERTIFYING OFFICER OF THE U.S. DEPARTMENT OF LABOR AT:

Certifying Officer

U.S. Department of Labor

Employment and Training Administration

Office of Foreign Labor Certification

200 Constitution Avenue, NW

Room N-5311

Washington, DC 20210

About S&P Global Dow Jones Indices

At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies.

S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

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. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership


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 cantake 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

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, 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.

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 toreportfraud@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 activityhere.

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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.comand 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.pdfdescribes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

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20 - Professional (EEO-2 Job Categories-United States of America), RESECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)