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.
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We Are Teva
We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.
Our Team, Your Impact
As a Machine Learning & External Sensing Engineer, you will develop Machine Learning, AI-agent, and external sensing capabilities focused on predictive forecasting, intelligent automation, and integration of external business signals into Supply Chain decision-making processes.
How You’ll Spend Your Day
- Develop Machine Learning models integrating external data sources
- Build forecasting enhancement capabilities using internal and external signals
- Integrate external indicators into planning and decision-support processes
- Develop AI agents supporting analytics, simulations, and operational monitoring
- Support automation of master data integrity and planning consistency checks
- Develop anomaly-detection and predictive alerting capabilities leveraging external signals
- Work with IT to industrialize data pipelines and AI services
- Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabilities
Your Skills and Experience
- 4+ years in Machine Learning / Data Science
- Strong Python experience
- Experience with time-series forecasting
- Experience integrating structured and unstructured external data sources
- Knowledge of Supply Chain or Demand Planning processes
- Experience with cloud-based analytics or AI environments
Also Good to Have
- Experience with Pharma datasets
- Exposure to AI agents / LLM-based automation
- Experience working with SAP planning ecosystems
- Experience with external sensing, signal detection, or predictive analytics environments
How We’ll Take Care of You
We offer a competitive benefits package, including:
- Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
- Retirement Savings: 401(k) with employer match, up to 6% and an annual 3.75% Defined Contribution to the 401k plan.
- Time Off: Paid Time Off including vacation, sick/safe time, caretaker time and holidays.
- Life and Disability Protection: Company paid Life and Disability insurance.
- Additional benefits include, but are not limited to, Employee Assistance Program, Employee Stock Purchase Plan, Tuition Assistance, Flexible Spending Accounts, Health Savings Account, Life Style Spending Account, Volunteer Time Off, Paid Parental Leave, if eligible, Family Building Benefits, Virtual Physical Therapy, Accident, Critical Illness and Hospital Indemnity Insurances, Identity Theft Protection, Legal Plan, Voluntary Life Insurance and Long Term Disability and more.
The total compensation may also include restricted stock units and discretionary awards, depending on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.
Please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience. Request a reasonable accommodation by sending an email to AskHR@tevapharm.com with the nature of your request and your contact information. Only inquiries concerning a request for a reasonable accommodation will be responded to from this email address.
Important notice to Employment Agencies - Please Read Carefully
Teva Pharmaceuticals USA does not accept unsolicited assistance from agencies for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Machine Learning Job Roles in New Jersey
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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.