OPT Machine Learning Engineer Jobs
Machine Learning Engineer roles are among the most OPT-friendly positions in tech, with high demand from employers already familiar with F-1 work authorization. Most roles qualify as STEM OPT, giving you up to 36 months of work authorization, and many employers actively file H-1B visa petitions for strong ML candidates.
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Get Access To All JobsINTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
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Get Access To All JobsTips for Finding OPT Sponsorship as a Machine Learning Engineer
Target companies with active H-1B filing histories
Large tech firms and well-funded AI startups file H-1B visa petitions regularly for ML roles. Filtering by employers with consistent sponsorship track records is the most reliable way to avoid wasting applications on companies that won't convert your OPT.
Lead with your research output and production deployments
Employers sponsoring ML engineers want evidence of real impact. Published papers, Kaggle rankings, open-source contributions, and deployed models in production all signal the kind of technical depth that makes sponsorship worth the investment for a hiring manager.
Apply before your OPT start date, not after
Most ML hiring pipelines take six to twelve weeks from application to offer. Starting your search three to four months before your OPT authorization date gives employers enough runway to complete interviews and onboarding before your work authorization begins.
Clarify your STEM OPT extension eligibility upfront
ML Engineering consistently qualifies under STEM OPT CIP codes tied to computer science and data science programs. Confirming your degree program qualifies before interviews prevents late-stage confusion and reassures employers that 36 months of authorization is on the table.
Specialize in a high-demand ML subfield
Employers sponsoring visas need strong justification for the cost. Specializing in LLM fine-tuning, computer vision, or MLOps makes you a clearer candidate for roles that are genuinely hard to fill, which strengthens the business case for sponsorship.
Negotiate H-1B filing into your offer conversation early
Bringing up sponsorship after receiving an offer creates friction. Raising it naturally during late-stage interviews, once the employer is clearly interested, lets you confirm their willingness to file before you invest further time in the process.
Machine Learning Engineer OPT: Frequently Asked Questions
Do Machine Learning Engineer jobs typically qualify for STEM OPT extension?
Yes. Machine Learning Engineering falls under CIP codes tied to computer science, data science, and electrical engineering programs, all of which are on the STEM Designated Degree Program list. If your degree is in one of those fields, you're eligible to apply for the 24-month STEM OPT extension, giving you up to 36 months of total work authorization.
How do I find Machine Learning Engineer jobs where the employer is willing to sponsor OPT and H-1B?
Migrate Mate filters jobs specifically for F-1 OPT students, so the roles listed are from employers familiar with or actively open to sponsorship. Browsing ML Engineer listings on Migrate Mate saves significant time compared to filtering through general job boards where most postings don't address visa sponsorship at all.
Can I work as a Machine Learning Engineer on OPT before my STEM extension is approved?
Yes, as long as your initial 12-month OPT authorization is active and you've submitted your STEM OPT extension application before it expires. USCIS automatically extends your work authorization by up to 180 days while the extension is pending, so there's no gap in your ability to work, provided you filed on time.
What employment relationship counts as valid for STEM OPT in an ML role?
STEM OPT requires a formal employer-employee relationship, meaning your employer must provide supervision, control your work schedule, and report training outcomes through the SEVP portal. Fully independent contracting arrangements do not satisfy this requirement. Most full-time ML Engineering positions at tech companies meet the standard, but contract-to-hire roles should be reviewed with your DSO before accepting.
Do employers need to pay OPT students market rate for Machine Learning Engineer roles?
STEM OPT regulations require that employers pay OPT students the same wages and working conditions offered to similarly situated U.S. workers in the same role and location. For ML Engineering, which commands strong compensation across the industry, this protection matters. If an employer offers terms noticeably below what comparable full-time employees receive, that arrangement likely doesn't comply with STEM OPT requirements.