ZipRecruiter

Log In

1

H1B Machine Learning Jobs in New York (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Benefits Why ...

Sonsoft Inc

Sr. Data Scientist

Newark, NJ · On-site

Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines ... Only US Citizen , Green Card Holder , GC-EAD , H4-EAD, L2-EAD, H1B and TN Visa can apply. * No OPT ...

Sonsoft Inc

Sr. Big Data -Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

The role would also involve testing various machine learning models on Big Data, and deploying ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Sonsoft Inc

Sr. Big Data Engineer

Jersey City, NJ

$58.25 - $77/hr

The role would also involve testing various machine learning models on Big Data, and deploying ... Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. 3. No OPT-EAD, H1B & TN ...

SVATS

Full Stack Java Developer - W2 Role

Manhattan, NY · On-site

$58 - $74.75/hr

New York, NY (Onsite) H1B transfers are acceptable Position Summary The Full Stack Engineer will ... intelligence, machine learning, or mobile. * In-depth knowledge of financial services industry ...

New

SVATS

Full Stack Java Developer - W2 Role

Manhattan, NY · On-site

$58 - $74.75/hr

New York, NY (Onsite) H1B transfers are acceptable Position Summary The Full Stack Engineer will ... intelligence, machine learning, or mobile. * In-depth knowledge of financial services industry ...

New

Capital One

Lead Data Engineer

New York, NY

$125K - $150K/yr

We build data-driven tools that use machine learning to prevent risks & automatically detect issues ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/yr

We build data-driven tools that use machine learning to prevent risks & automatically detect issues ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Career Guidant

Java with Angualr JS

Jersey City, NJ · On-site

$53.25 - $69/hr

... Machine Learning and Multi Threading. At least 2 years of experience in working on UI/AngularJS ... No OPT-EAD & H1B Consultants please. 3.Please mention your Visa Status in your email or resume.

Navtech, Inc.

QA Test Lead

Jersey City, NJ · On-site

... H1B NOTE: Need to have Selenium + RPA+ AI/ ML (Artificial Intelligence/ Machine Learning) QA Tester Responsibilities The ideal candidate will enjoy building Test strategy in agile environment and ...

Navtech, Inc.

Java tech lead

Little Falls, NJ · On-site

... H1B The Tech Lead will cultivate and maintain a variety of client, server and web-based ... Weka machine learning library Background in the banking sector and/or insurance a plus. Best ...

Capital One

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Capital One

Lead Data Engineer (Bank Tech)

New York, NY · On-site

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Capital One

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

previous pagenext page

Showing results 21-40

All JobsH1B Machine Learning JobsH1B Machine Learning Jobs in New York

H1B Machine Learning information

What are some common challenges H1B machine learning professionals face when adapting to a new work environment in the U.S.?

H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer on an H1B visa?

To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.

What is an H1B machine learning job?

An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.

What is the difference between H1B Machine Learning vs H1B Data Scientist?

AspectH1B Machine LearningH1B Data Scientist
Required CredentialsDegree in CS, ML, or related field; certifications like TensorFlow, AWSDegree in CS, Statistics, or related; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsBusiness analytics, data analysis teams, consulting firms
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, e-commerce, consulting
Common Search & ComparisonYesYes

H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.

What are popular job titles related to H1B Machine Learning jobs in New York? For H1B Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching H1B Machine Learning jobs in New York look for? The top searched job categories for H1B Machine Learning jobs in New York are:
What cities in New York are hiring for H1B Machine Learning jobs? Cities in New York with the most H1B Machine Learning job openings:
H1B Machine Learning jobs near you
Infographic showing various H1B Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist

North Star Staffing Solutions

New York, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Company Description

.JOB DESCRIPTION Position: Sr Data Scientist Term: Direct Placement Start Date: ASAP Location: New York or San Francisco, CA (San Ramon area specifically) Misc: Relo package negotiable, H1B transfers welcome

Job Description

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses. Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets. You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market

Qualifications

Requirements Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required, PhD required). 6+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods. Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights. Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python, R, Matlab, Spotfire, Tableau. Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, MapReduce, PIG, HIVE, Python (NumPy, SciPy, scikit-learn), SAS, R, and machine learning suites such as Mahout, Weka, and RapidMiner. Experience with cloud computing and Hadoop. Experience with third-party API integration. Strong communication skills to utilize while interacting with the product management team in order to create meaning

Additional Information

If you meet the requirements of this unique opportunity, we encourage you to explore how you can make a difference by applying now. 

Contact: Eric McCart   either by email or LinkedIn link below even direct 8623339700

https://www.linkedin.com/pub/eric-mccart/b9/892/564


Apply