ML Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's ml engineer job market spans pharma tech corridors in Princeton, financial services firms in Jersey City, and major tech employers like Johnson & Johnson, Cognizant, and Verizon. Many of these companies have active H-1B visa sponsorship histories. Roles concentrate in the Route 1 corridor and the New York metro fringe, giving candidates access to dense industry networks.
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Scientist Machine Learning for Ingredient Discovery
Location: Princeton, NJ or Long Island City, NY
We are seeking a skilled Data Scientist with deep expertise in developing and applying machine learning models, including LLMs and agents, as well as user-facing apps for small molecule design and pipeline prioritization.
The successful candidate will join the Ingredient Modeling team within dsm-firmenich's R&D Data Science unit and work with a talented team of data scientists, chemists, biologists as well as perfumers to transform our internal molecule discovery process, closely integrating AI with chemistry, biotech and the understanding of our senses of olfaction and taste. Our goal: deliver an integrated, state-of-the-art discovery engine for fragrance, taste and other business areas of dsm-firmenich.
This role offers the opportunity to work on projects that integrate computational chemistry with receptor biology and advanced data science methodologies – all while working in close collaboration with leading domain experts in the field of discovery chemistry, biotechnology, receptor biology, olfaction, and taste.
Key Responsibilities:
- Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich’s taste, texture and health segments.
- Develop and implement machine learning models to support dsm-firmenich’s new ingredient discovery process.
- Use Python and its most common libraries (e.g. NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras) to build and optimize machine learning models.
- Apply diverse neural network architectures and multi-objective optimization algorithms to solve complex ingredient design problems including exploration of chemical space. Deploy and manage machine learning workflows on Azure and AWS cloud infrastructure.
- Stay abreast of the latest advancements in machine learning, neural networks and cheminformatics and apply this knowledge to drive innovation within the team.
- You apply modern tools such as git, generative AI and agentic workflows, graph and relational data models, cloud-native computing and API endpoints to do your daily work.
- Team up with other data scientists, chemists, biologists and perfumers/flavorists to translate scientific requirements into scalable and user-friendly modeling tools and drive project success.
We Offer:
- Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry.
- Highly motivated, professional and committed multicultural and interdisciplinary team.
- Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty.
- Grow and develop your skills through our in-house training courses.
- Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology.
- A commitment to science-based innovations with 2000 scientists and 700 mln annual S&R investments.
You Bring:
- Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence or Quantitative Finance / Economics.
- 2-5 years of additional academic or industrial work experience in cheminformatics and computational chemistry, ideally applied to ingredient-drug discovery or the sensory biology field, or alternatively other relevant areas.
- Scientific backgrounds with experience in Machine Learning for Trading, Quantitative Investing, and Systematic Portfolio Management are also welcome.
- Record of accomplishments demonstrating high drive and keen entrepreneurial innovation.
- Strong proficiency in Python and its data science libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras etc.).
- Strong proficiency in state-of-the-art cheminformatics toolkits such as RDKit.
- Strong understanding of machine learning algorithms and techniques, multi-objective optimization (such as mixed preference optimization) and experience with (graph) neural networks.
- Proficiency in responsible and efficient use of AI coding agents, good code management practices and experience working with CI/CD pipelines. Hands-on experience with Azure or AWS cloud services is a plus.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills and the ability to convey complex concepts to non-experts.
The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant’s job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $100,000-$140,000.
In addition to base salary, we also offer a comprehensive total rewards package, inclusive of annual incentive pay, a retirement savings plan, health care coverage, paid time off, recognition programs and a broad range of other benefits. All benefits and incentives are subject to eligibility requirements.
About dsm-firmenich
At dsm-firmenich, we don’t just meet expectations – we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.
Because real progress only happens when we go beyond, together.
The application process
Interested in this position? Please apply online by uploading your resume in English.
Inclusion, belonging and equal opportunity statement
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.
We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.
Agency statement
We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.
ML Engineer Job Roles in New Jersey
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Search ML Engineer Jobs in New JerseyML Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for ml engineers in New Jersey?
Companies with consistent H-1B sponsorship histories for ml engineer roles in New Jersey include Cognizant, Johnson & Johnson, Verizon, Merck, and Prudential Financial. Consulting firms such as Infosys and Tata Consultancy Services also place ml engineers across New Jersey client sites. Sponsorship patterns vary by year and business need, so checking recent DOL LCA disclosure data gives the most current picture.
Which visa types are most common for ml engineer roles in New Jersey?
The H-1B is the most common visa for ml engineers in New Jersey, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already authorized under OPT or STEM OPT extensions can begin working while an H-1B petition is pending. L-1B intracompany transfers are another pathway for candidates moving from a foreign affiliate of a New Jersey employer.
Which cities in New Jersey have the most ml engineer sponsorship jobs?
Jersey City and Newark generate the highest concentration of ml engineer sponsorship activity, largely because of their proximity to New York City's financial and tech sectors. Princeton and Plainsboro attract roles tied to pharmaceutical and life sciences companies along the Route 1 corridor. Parsippany and Florham Park also see consistent activity from large corporate headquarters with established immigration support infrastructure.
How to find ml engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically for roles where employers have demonstrated visa sponsorship willingness, including ml engineer positions across New Jersey. Rather than sorting through unfiltered postings, you can search directly for sponsorship-confirmed roles in cities like Jersey City, Princeton, or Newark. Migrate Mate also surfaces employer sponsorship history, which helps you prioritize applications toward companies with an active track record in New Jersey.
Are there state-specific considerations for ml engineers seeking sponsorship in New Jersey?
New Jersey's concentration of pharmaceutical, financial services, and telecommunications employers creates strong demand for ml engineers with domain-specific skills in areas like drug discovery modeling, fraud detection, and network optimization. Rutgers University and NJIT feed a steady pipeline of graduate-level candidates, making competition for sponsored roles active. Employers filing Labor Condition Applications must attest to prevailing wage compliance, which is determined by the specific job location within New Jersey, not a statewide average.
What is the prevailing wage for sponsored ml engineer 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.