Machine Learning Engineer Visa Sponsorship Jobs in New York
New York is one of the top states for machine learning engineer visa sponsorship, driven by major tech employers like Google, Amazon, and Bloomberg in New York City, alongside a growing fintech and AI research presence. Meta, Two Sigma, and dozens of AI-focused startups actively hire and sponsor ML engineers across the state.
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Get Access To All JobsINTRODUCTION
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
ROLE AND RESPONSIBILITIES
Job Duties:
- Build industrial-level models for critical Machine Learning tasks with advanced modelling techniques.
- Research, implement, test, and launch Deep Neural Network with advanced representation learning and feature interaction architecture.
- Systematic Feature Engineering work to convert all kinds of raw data in Reddit (dense & sparse, behaviour & content, etc.) into features with various techniques such as aggregation, embedding, sub models, etc.
- Be a mentor and cross-functional advocate for the team.
- Full-time telecommuting is an option.
MINIMUM QUALIFICATIONS
Bachelor’s degree (or its foreign equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.
SPECIAL SKILL REQUIREMENTS
- (1) Recommender Systems
- (2) Natural Language Processing
- (3) Python
- (4) SQL
- (5) Apache Beam
- (6) Apache Spark
- (7) GCP
- (8) AWS
- (9) Cassandra
- (10) ElasticSearch
- (11) Machine Learning
- (12) PySpark
- (13) Multi-arm Bandits
- (14) XgBoost
Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option.
BENEFITS
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.31.2.
PAY TRANSPARENCY
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
The base pay range for this position is: $260,000.00 - $303,400.00 USD
LI-DNI
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
INTRODUCTION
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
ROLE AND RESPONSIBILITIES
Job Duties:
- Build industrial-level models for critical Machine Learning tasks with advanced modelling techniques.
- Research, implement, test, and launch Deep Neural Network with advanced representation learning and feature interaction architecture.
- Systematic Feature Engineering work to convert all kinds of raw data in Reddit (dense & sparse, behaviour & content, etc.) into features with various techniques such as aggregation, embedding, sub models, etc.
- Be a mentor and cross-functional advocate for the team.
- Full-time telecommuting is an option.
MINIMUM QUALIFICATIONS
Bachelor’s degree (or its foreign equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.
SPECIAL SKILL REQUIREMENTS
- (1) Recommender Systems
- (2) Natural Language Processing
- (3) Python
- (4) SQL
- (5) Apache Beam
- (6) Apache Spark
- (7) GCP
- (8) AWS
- (9) Cassandra
- (10) ElasticSearch
- (11) Machine Learning
- (12) PySpark
- (13) Multi-arm Bandits
- (14) XgBoost
Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option.
BENEFITS
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.31.2.
PAY TRANSPARENCY
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
The base pay range for this position is: $260,000.00 - $303,400.00 USD
LI-DNI
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Machine Learning Engineer Job Roles in New York
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Search Machine Learning Engineer Jobs in New YorkMachine Learning Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in New York?
Large tech and finance firms with significant New York presences are among the most active sponsors for machine learning engineers. Google, Amazon, Bloomberg, Two Sigma, JPMorgan Chase, and IBM have consistent H-1B filing histories for ML roles. Beyond those, New York's AI startup ecosystem, concentrated in Manhattan and Brooklyn, includes companies like Hugging Face and Cohere that also sponsor international engineers.
Which visa types are most common for machine learning engineer roles in New York?
The H-1B is the most common visa category for machine learning engineers in New York, given that ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Those already holding F-1 OPT or STEM OPT can work while an H-1B petition is pending.
Which cities in New York have the most machine learning engineer sponsorship jobs?
New York City accounts for the overwhelming majority of machine learning engineer sponsorship opportunities in the state. Manhattan's Midtown and Flatiron districts host major tech offices, while Brooklyn's growing tech corridor has attracted AI startups and research labs. Albany and Buffalo have smaller but emerging tech presences, particularly through university-affiliated research initiatives, but the volume of ML sponsorship roles there is significantly lower than in NYC.
How to find machine learning engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in New York by visa sponsorship willingness, saving you from sifting through listings that won't consider work authorization. You can browse active ML openings across New York City and the broader state, with roles sourced from employers that have documented H-1B filing histories, making your job search more targeted and efficient.
Are there any New York-specific factors machine learning engineers should know about visa sponsorship?
New York City's prevailing wage levels for machine learning engineers are among the highest in the country, which affects the Labor Condition Application your employer files as part of the H-1B process. The city's density of universities, including Columbia, NYU, and Cornell Tech on Roosevelt Island, creates a strong pipeline of ML talent and employer familiarity with sponsoring international candidates. Competition for sponsored roles is high given the concentration of qualified applicants.
What is the prevailing wage for sponsored machine learning engineer jobs in New York?
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.
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