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Remote Senior Machine Learning Engineer Jobs in Parlin, NJ

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

Manhattan, NY ยท On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Senior Staff Machine Learning Engineer

Brooklyn, NY ยท On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

Senior Staff Machine Learning Engineer

New York, NY ยท On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Manhattan, NY ยท On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Showing results 41-60

Remote Senior Machine Learning Engineer information

See Parlin, NJ salary details

$77.7K

$147.6K

$197.7K

How much do remote senior machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote senior machine learning engineer in Parlin, NJ is $147,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $166,300.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Parlin, NJ?

For Remote Senior Machine Learning Engineer jobs in Parlin, NJ, the most frequently searched job titles are:

What cities near Parlin, NJ are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Parlin, NJ with the most Remote Senior Machine Learning Engineer job openings:

Machine Learning Engineer

Spgi

New York, NY โ€ข On-site, Remote

$209K - $250K/yr

Full-time

Medical, Retirement

Re-posted 9 days ago


Key responsibilities

  • 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 patterns, correlations, outliers, and anomalies.

  • Write production code implementing predictive models and algorithms, and write tests to ensure robustness and reliability.


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)