Machine Learning Visa Sponsorship Jobs in New Jersey
New Jersey's machine learning job market is anchored by major employers like Johnson & Johnson, Cognizant, and Verizon, with strong concentrations in Jersey City, Princeton, and Newark. The state's proximity to New York City and its dense pharmaceutical, financial services, and telecom sectors make it a consistent source of H-1B visa sponsorship for ML engineers and researchers.
Find Machine Learning JobsOverview
Showing 5 of 50+ Machine Learning Jobs in New Jersey with Visa Sponsorship
See all 50+ Machine Learning Jobs in New Jersey with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs in New Jersey with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Remote Machine Learning Engineer - Predictive Intelligence Opportunity! This Jobot Job is hosted by: Audrey Block. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We are a marketing tech startup based in NYC, hiring a Machine Learning Engineer! Please apply if you fit most of the criteria below. Thanks!
Why join us?
- Right hand to CTO
- Remote schedule - with a preference of living in NYC/Eastern time
- Huge opportunity for growth
- Base salary, bonus, equity and more
- Full benefits
- Office in NYC - flexible schedule
JOB DETAILS
Our organization is seeking a dynamic, innovative, and experienced Machine Learning Engineer to join our tech startup. The chosen candidate will be a critical player in developing and implementing advanced algorithms, models, and methods that will enable our team to make data-driven decisions and drive our predictive intelligence capabilities. This role requires a deep understanding of machine learning techniques, an analytical mindset, and the ability to turn complex data into predictive insights for our company.
Responsibilities:
1. Develop, test, and implement predictive models using machine learning algorithms such as Bayesian, XGBoost, and Prophet.
2. Utilize tools such as Google Meridian, Agentic, and FastAPI for data processing and model implementation.
3. Conduct geo-experiments, holdouts, and backtesting to validate the performance and reliability of predictive models and machine learning solutions.
4. Work with large and complex data sets, solving difficult, non-routine analysis problems by applying advanced analytical methods.
5. Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging company data to drive business solutions.
6. Design and build data pipelines using SQL, Cloud Run, and Cloud SQL.
7. Build and maintain a robust data architecture that supports our machine learning efforts.
8. Keep abreast of the latest developments in the field and introduce new technologies and methodologies to the team.
QUALIFICATIONS
1. Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Math, or related field.
2. Minimum of 3 years of experience in a similar role.
3. Proven experience in using predictive modeling, data processing, and data analysis techniques.
4. Proficiency in programming languages such as SQL and Python.
5. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
6. Strong knowledge in Google Meridian, MMM, Agentic, XGBoost, Prophet, FastAPI, Postgres, geo-experiments, holdouts, backtesting, SQL, Cloud Run, and Cloud SQL.
7. Excellent understanding of machine learning algorithms, processes, tools and platforms.
8. Strong problem-solving skills with an emphasis on product development.
9. Excellent written and verbal communication skills.
10. Strong project management and organizational skills.
11. Ability to work in a fast-paced environment with minimal supervision.
12. Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
INTRODUCTION
Remote Machine Learning Engineer - Predictive Intelligence Opportunity! This Jobot Job is hosted by: Audrey Block. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We are a marketing tech startup based in NYC, hiring a Machine Learning Engineer! Please apply if you fit most of the criteria below. Thanks!
Why join us?
- Right hand to CTO
- Remote schedule - with a preference of living in NYC/Eastern time
- Huge opportunity for growth
- Base salary, bonus, equity and more
- Full benefits
- Office in NYC - flexible schedule
JOB DETAILS
Our organization is seeking a dynamic, innovative, and experienced Machine Learning Engineer to join our tech startup. The chosen candidate will be a critical player in developing and implementing advanced algorithms, models, and methods that will enable our team to make data-driven decisions and drive our predictive intelligence capabilities. This role requires a deep understanding of machine learning techniques, an analytical mindset, and the ability to turn complex data into predictive insights for our company.
Responsibilities:
1. Develop, test, and implement predictive models using machine learning algorithms such as Bayesian, XGBoost, and Prophet.
2. Utilize tools such as Google Meridian, Agentic, and FastAPI for data processing and model implementation.
3. Conduct geo-experiments, holdouts, and backtesting to validate the performance and reliability of predictive models and machine learning solutions.
4. Work with large and complex data sets, solving difficult, non-routine analysis problems by applying advanced analytical methods.
5. Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging company data to drive business solutions.
6. Design and build data pipelines using SQL, Cloud Run, and Cloud SQL.
7. Build and maintain a robust data architecture that supports our machine learning efforts.
8. Keep abreast of the latest developments in the field and introduce new technologies and methodologies to the team.
QUALIFICATIONS
1. Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Math, or related field.
2. Minimum of 3 years of experience in a similar role.
3. Proven experience in using predictive modeling, data processing, and data analysis techniques.
4. Proficiency in programming languages such as SQL and Python.
5. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
6. Strong knowledge in Google Meridian, MMM, Agentic, XGBoost, Prophet, FastAPI, Postgres, geo-experiments, holdouts, backtesting, SQL, Cloud Run, and Cloud SQL.
7. Excellent understanding of machine learning algorithms, processes, tools and platforms.
8. Strong problem-solving skills with an emphasis on product development.
9. Excellent written and verbal communication skills.
10. Strong project management and organizational skills.
11. Ability to work in a fast-paced environment with minimal supervision.
12. Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
Machine Learning Job Roles in New Jersey
See all 50+ Machine Learning Jobs in New Jersey
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Jobs in New JerseyMachine Learning Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in New Jersey?
Large employers with established H-1B sponsorship histories in New Jersey include Johnson & Johnson, Cognizant Technology Solutions, Verizon Communications, Prudential Financial, and Conduent. Pharmaceutical companies concentrated along the I-78 and Route 1 corridors frequently sponsor ML talent for drug discovery and clinical data roles. Financial services firms in Jersey City also regularly file H-1B petitions for machine learning engineers and data scientists.
Which visa types are most common for machine learning roles in New Jersey?
The H-1B is the most common visa category for machine learning roles in New Jersey, as ML engineer and data scientist positions generally qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with outstanding research records may also pursue the O-1A. Those already holding F-1 status can work under OPT or STEM OPT while seeking H-1B sponsorship from a New Jersey employer.
Which cities in New Jersey have the most machine learning sponsorship jobs?
Jersey City leads due to its concentration of financial services firms and its direct access to New York City's tech ecosystem. Princeton attracts ML talent through its research institutions and pharmaceutical companies clustered nearby. Newark is growing as a hub, particularly for telecom and enterprise tech. Edison and Parsippany also see consistent ML hiring, driven by consulting firms and mid-size technology companies headquartered in central New Jersey.
How to find machine learning visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in New Jersey by visa sponsorship availability, so you're not sorting through listings from employers who won't sponsor. The platform surfaces roles from companies with documented H-1B filing histories, which is particularly useful in New Jersey where sponsorship willingness varies significantly between the pharma, finance, and consulting sectors.
Are there any state-specific considerations for machine learning roles in New Jersey?
New Jersey's machine learning market is shaped by its pharmaceutical corridor along Routes 1 and 9, which creates strong demand for ML engineers who can work on clinical trial modeling and genomics applications. The state is also home to several major university research programs, including Rutgers and Princeton, which feed local employer pipelines. New Jersey employers must comply with federal prevailing wage requirements under the H-1B program, with wage levels tied to the Newark-Jersey City metropolitan statistical area.
What is the prevailing wage for sponsored machine learning jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.