ML Software Engineer Jobs in USA with Visa Sponsorship
ML Software Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers regularly file H-1B and O-1 petitions for qualified candidates, and specialty occupation approval rates for machine learning roles are high given the clear degree-to-role alignment. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Rocket Lawyer
We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered. We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!
About Your Role
Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others. We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments.
How You Will Make a Difference Day To Day
- Build, train, fine-tune, deploy and maintain ML models for AI features
- Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
- Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
- Keep up-to-date with industry trends around generative AI and machine learning
- Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code
What You’ll Need
- 5+ years of Experience writing ML code for launched products
- Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
- Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
- Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
- Strong programming skills in Python and SQL
- BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience
Benefits & Perks
- Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
- Unlimited PTO
- Competitive salary packages
- Life insurance
- Disability benefits
- Supplemental Optional Life Insurance Benefits
- FSA Options Optional
- HSA with Company Match
- 401k program with Company Match
- Fertility Assistance and Planning options
- Wellhub & ClassPass fitness platforms
- Comprehensive Pet Insurance options
- Financial Wellbeing & Student Loan Program access
- Access to additional Mental Health & Wellbeing resources
- Pre-tax Commuter/Transit Benefits
- Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates
Interview Process
- Recruiter Phone Screen
- Role Assessment(s)
- Hiring Manager Interview
- Panel Interviews
- Final Interview
Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.
All your information will be kept confidential according to EEO guidelines.
You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.
Compensation
Base salary range by location:
- SF Bay Area: $165,000 - $190,000
- California: $155,000 - $180,000
- Colorado: $140,000 - $165,000
- Arizona/Utah/North Carolina: $132,000 - $155,000
Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. $132,000—$190,000 USD
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
About Rocket Lawyer
We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered. We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!
About Your Role
Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others. We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments.
How You Will Make a Difference Day To Day
- Build, train, fine-tune, deploy and maintain ML models for AI features
- Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
- Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
- Keep up-to-date with industry trends around generative AI and machine learning
- Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code
What You’ll Need
- 5+ years of Experience writing ML code for launched products
- Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
- Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
- Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
- Strong programming skills in Python and SQL
- BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience
Benefits & Perks
- Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
- Unlimited PTO
- Competitive salary packages
- Life insurance
- Disability benefits
- Supplemental Optional Life Insurance Benefits
- FSA Options Optional
- HSA with Company Match
- 401k program with Company Match
- Fertility Assistance and Planning options
- Wellhub & ClassPass fitness platforms
- Comprehensive Pet Insurance options
- Financial Wellbeing & Student Loan Program access
- Access to additional Mental Health & Wellbeing resources
- Pre-tax Commuter/Transit Benefits
- Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates
Interview Process
- Recruiter Phone Screen
- Role Assessment(s)
- Hiring Manager Interview
- Panel Interviews
- Final Interview
Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.
All your information will be kept confidential according to EEO guidelines.
You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.
Compensation
Base salary range by location:
- SF Bay Area: $165,000 - $190,000
- California: $155,000 - $180,000
- Colorado: $140,000 - $165,000
- Arizona/Utah/North Carolina: $132,000 - $155,000
Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. $132,000—$190,000 USD
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
How to Get Visa Sponsorship as a ML Software Engineer
Lead with your tech stack, not your job title
Hiring managers sponsoring ML engineers want to see PyTorch, TensorFlow, or JAX upfront. Listing frameworks before your title signals technical depth immediately and separates you from generalist software engineers competing for the same roles.
Target companies with an active H-1B filing history
Sponsorship willingness varies significantly by employer. Focus on companies that have consistently filed H-1B petitions for ML roles in prior years. This history is public record and tells you more than any recruiter's vague assurance about sponsorship.
Frame your degree as directly tied to the role
USCIS scrutinizes specialty occupation claims. If your degree is in computer science, statistics, or a related quantitative field, make that connection explicit in applications. Ambiguous degree-to-role alignment is the most common reason ML petitions face additional review.
Highlight published research or patents if you have them
Publications and patents strengthen both H-1B specialty occupation arguments and O-1A extraordinary ability petitions. Even a single co-authored paper on a relevant ML topic adds meaningful credibility to a sponsorship package for this role.
Apply to roles that specify a master's or PhD requirement
Postings requiring an advanced degree in machine learning or AI signal stronger sponsorship intent and clearer specialty occupation documentation. These roles also tend to move faster through USCIS review because the degree-to-role connection is harder to dispute.
Prepare for a longer hiring timeline when sponsorship is involved
H-1B cap-subject petitions must align with the April lottery window. If you're interviewing outside that cycle, ask employers about cap-exempt options, O-1 alternatives, or transfer from an existing valid status to avoid gaps in work authorization.
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Get Access To All JobsFrequently Asked Questions
Do ML Software Engineer roles qualify as H-1B specialty occupations?
Yes. Machine learning engineering consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in a specific field such as computer science, mathematics, or statistics. USCIS has approved H-1B petitions for ML engineers at high rates when the job description clearly requires theoretical knowledge applied to complex model development, not just general software development tasks.
What degree do I need for an employer to sponsor my H-1B as an ML Software Engineer?
A bachelor's degree or higher in computer science, electrical engineering, mathematics, statistics, or a closely related quantitative field is the standard requirement. A general business or unrelated degree makes sponsorship significantly harder because USCIS will question whether the role genuinely requires that specific academic background. Some employers also accept foreign three-year degrees if accompanied by relevant graduate study or substantial work experience.
Are ML Software Engineer roles eligible for the O-1A visa as an alternative to H-1B?
Yes, and it's a strong alternative for candidates with a research background. The O-1A requires demonstrating extraordinary ability through criteria like published papers, conference presentations, high compensation relative to peers, or judging others' work. ML engineers with NeurIPS, ICML, or ICLR publications, or those who have contributed to widely adopted open-source models, often meet multiple criteria without needing the H-1B lottery.
How competitive is H-1B sponsorship for ML roles compared to other software engineering positions?
ML Software Engineer roles attract sponsorship from a wide range of employers, including large tech companies and well-funded AI startups, which increases your options relative to more generalist engineering titles. However, because demand for these roles is high, cap-subject H-1B slots fill quickly. Candidates who browse ML-specific openings on Migrate Mate can filter for employers with confirmed sponsorship history, which meaningfully improves selection odds.
Can I switch employers on an H-1B as an ML Software Engineer?
Yes. H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, provided you've been in valid H-1B status. The new employer must file a fresh I-129 petition with a new Labor Condition Application reflecting the updated role and location. For ML roles, the specialty occupation argument typically transfers cleanly as long as the new position has comparable technical requirements.
What is the prevailing wage requirement for sponsored ML Software Engineer jobs?
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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