STEM OPT ML Software Engineer Jobs
ML Software Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months total on your F-1 authorization. Your employer must be enrolled in E-Verify to hire you on the 24-month extension. A degree in computer science, electrical engineering, or a related STEM field qualifies.
See All ML Software Engineer JobsOverview
Showing 5 of 1,155+ ML Software Engineer jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 1,155+ ML Software Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer roles.
Get Access To All Jobs
Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A143350B
Responsibilities:
- Convert and compile ML models for execution on edge NPUs, and apply quantization mechanisms.
- Profile and analyze model performance and power consumption on simulators, emulators, and silicon platforms.
- Identify bottlenecks related to compute, memory bandwidth, data movement, and scheduling.
- Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
- Work closely with algorithm, compiler, firmware and hardware teams to debug functional and performance issues.
MINIMUM QUALIFICATIONS
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- 3+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Strong understanding of deep learning architectures, including CNNs and Transformers.
- Knowledge of ML accelerators' architectures, operator fusion, memory hierarchies, and data movements.
- Practical experience with popular ML frameworks, like PyTorch / TensorFlow.
- Proficiency in Python and C/C++.
PREFERRED QUALIFICATIONS
- 5+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Understanding of model inference constraints on edge devices, including latency, power, and accuracy trade-offs and optimization techniques.
- Understanding of quantization techniques, such as PTQ and QAT.
COMPENSATION
- The base salary range for this position in the selected city is $212800 - $450000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life – a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
See all 1,155+ ML Software Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a ML Software Engineer
Verify your CIP code before applying
Your degree's Classification of Instructional Programs code must fall under an approved STEM field. Cross-check it against the DHS STEM Designated Degree Program List before you target roles, so you don't discover an eligibility gap after an offer.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the company is enrolled in E-Verify, not just whether they 'sponsor' OPT. An employer can sponsor your initial OPT but still be ineligible for the 24-month STEM extension if they haven't completed E-Verify enrollment.
Use Migrate Mate to target verified STEM OPT employers
Search ML Software Engineer roles on Migrate Mate, which surfaces employers with confirmed E-Verify enrollment. This cuts the time you'd spend manually vetting companies and lets you focus applications on roles you're actually authorized to take.
Prepare your I-983 training plan before day one
Your employer must sign a Form I-983 outlining your training goals, duties, and learning objectives before your STEM OPT extension begins. Draft the ML-specific learning milestones in advance so the hiring manager isn't surprised by the paperwork requirement.
Target research-intensive ML roles for stronger I-983 alignment
Roles involving model development, research engineering, or applied ML research map more cleanly to the I-983's requirement that training relate directly to your STEM degree. Purely ops-focused or data-labeling roles can draw DSO scrutiny during reporting cycles.
File the STEM OPT extension at least 90 days early
USCIS recommends filing your I-765 extension application 90 days before your current EAD expires. ML hiring cycles can run long, so coordinating your offer timeline with your filing window prevents gaps in authorization between positions.
ML Software Engineer jobs are hiring across the US. Find yours.
Find ML Software Engineer JobsFrequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an ML Software Engineer?
Your degree qualifies if it appears on the DHS STEM Designated Degree Program List, which covers fields like computer science, electrical engineering, mathematics, and statistics. Most ML Software Engineer roles require exactly these backgrounds. Confirm your specific Classification of Instructional Programs code with your DSO before filing, since the CIP code on your transcript determines eligibility, not just the degree name.
Does every employer hiring ML Software Engineers on STEM OPT need to be in E-Verify?
Yes, E-Verify enrollment is a hard requirement for the 24-month STEM OPT extension, not optional. Your employer must be enrolled before your extension is approved, and they must remain enrolled throughout your authorization period. If a company withdraws from E-Verify while you're employed, your STEM OPT authorization is at risk. Always verify enrollment status before accepting an offer. You can find ML Software Engineer roles from confirmed E-Verify employers on Migrate Mate.
What goes into the I-983 training plan for an ML Software Engineer role?
The I-983 requires your employer to describe the specific training you'll receive, how your duties relate to your STEM degree, and measurable learning objectives. For ML Software Engineer positions, this typically covers model architecture development, applied research methods, or ML systems engineering tied to your coursework. Both you and a company supervisor must sign it, and your DSO must receive it before your extension period begins.
Can I change ML Software Engineer jobs while on the STEM OPT extension?
Yes, you can change employers, but the new employer must also be enrolled in E-Verify, and you must report the change to your DSO within 10 days. A new I-983 training plan must be completed with the new employer before you start. Your existing EAD remains valid, but working for a non-E-Verify employer, even briefly, violates your status. Plan job transitions carefully around your authorization end date.
How does cap-gap protection work if I'm an ML Software Engineer with a pending H-1B?
If your employer files an H-1B petition on your behalf before your OPT or STEM OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. This means you can continue working in your ML Software Engineer role without interruption while the H-1B is pending. USCIS governs cap-gap rules, and your DSO can issue an updated I-20 reflecting the extension.
See which ML Software Engineer employers are hiring and sponsoring visas right now.
Search ML Software Engineer Jobs