Senior ML Engineer Jobs
Senior ML Engineer jobs are open across tech, finance, healthcare, and defense, from mid-level to staff and principal, with specializations in NLP, computer vision, and recommendation systems. Find a role that fits from the openings below and apply directly.
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:
San Jose
Team
:
Technology
Employment Type
:
Regular
Job Code
:
A41505
Responsibilities
About the Role
ByteDance’s Dev Infra team is looking for talented Machine Learning Engineers to join our Dev AI initiative. Our mission is to build intelligent systems that transform how engineers design, develop, test, debug, and maintain software at scale.
In this role, you will work at the intersection of machine learning, large language models, code intelligence, and developer infrastructure. You will develop and improve AI systems for code generation, automated testing, debugging, code understanding, and agentic software engineering, with the goal of significantly improving developer productivity across ByteDance.
Responsibilities:
- Develop and improve machine learning and large language model systems for software engineering tasks, including code generation, unit test generation, and debugging.
- Build AI-powered developer agents and intelligent workflows that can reason over large codebases, interact with development environments and tools, execute multi-step engineering tasks, and assist engineers throughout the software development lifecycle.
- Improve model and agent performance through prompt engineering, context engineering, retrieval, fine-tuning, reinforcement learning, tool-use design, and agent harness engineering.
- Build high-quality training and evaluation data pipelines for software engineering tasks, including data collection, filtering, synthesis, labeling, and hard-example mining.
- Explore and apply advances in large language models, code intelligence, program analysis, reinforcement learning, and autonomous software engineering to real-world developer productivity problems at scale.
Minimum Qualifications:
- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- 5+ years of relevant industry or research experience in machine learning, large language models, code intelligence, AI-powered developer tools, or related areas.
- Strong programming skills in one or more languages such as Python, Go, Java, C++, JavaScript, or TypeScript.
- Solid understanding of data structures, algorithms, machine learning, operating systems, databases, and fundamental system design principles.
- Experience owning complex machine learning projects end-to-end, from problem formulation and data construction to model development, evaluation, deployment, and production iteration.
- Strong system design and engineering skills, with experience building scalable, reliable, and efficient machine learning systems or AI-powered applications.
- Strong communication and collaboration skills, with the ability to drive complex technical projects across teams.
- Experience building or leading AI systems for software engineering, including code generation, coding agents, unit test generation, debugging, or code review.
- Deep experience with large language models and one or more model improvement or post-training techniques, such as supervised fine-tuning, reinforcement learning, preference optimization, prompt engineering, context engineering, retrieval, or model evaluation.
- Experience designing and improving agentic systems, including tool-using LLMs, coding agents, agent harnesses, MCP, agent skills, planning, memory, or multi-step execution workflows.
- Experience building large-scale training data, evaluation datasets, benchmarks, or experimentation pipelines for machine learning or code intelligence systems.
- Strong understanding of software engineering and code intelligence techniques such as program analysis, compilers, static analysis, code search, repository indexing, testing, and debugging.
- Publications, patents, open-source contributions, or demonstrated technical leadership in machine learning, large language models, code intelligence, developer tools, or AI for software engineering.
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $218400 - $480000 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
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
Senior ML Engineer Jobs by Experience Level
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Find Senior ML Engineer JobsSenior ML Engineer Job Market
Who's Hiring
- TikTok197

- Apple137

- CVS Health97

- ByteDance60

- Google45

Top Industries Hiring
- Technology & Software126
- Electronics & Hardware41
- Insurance15
- Banking & Financial Services15
- Biotechnology & Pharmaceuticals15
What Employers Look For
The qualifications that appear most often in senior ML engineer jobs.
- 5 or more years of hands-on machine learning engineering experience in production environments
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and deploying end-to-end ML pipelines at scale
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD for models
- Strong understanding of distributed computing and cloud platforms such as AWS, GCP, or Azure
- Graduate degree in computer science, statistics, or a related quantitative field preferred
Tips for Your Senior ML Engineer Job Search
Quantify model impact on your resume
Recruiters screening senior ml engineer resumes look past model architectures and want outcomes. Replace 'built a classification model' with the latency reduction, accuracy lift, or revenue impact it delivered. Numbers make your contributions defensible in technical screens.
Apply early to roles that fit
Migrate Mate lists senior ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment environment
Senior ML roles split hard between research-heavy and production-focused. Scan each posting for keywords like 'MLOps', 'model serving', or 'real-time inference' versus 'publications' or 'R&D'. Applying to the wrong side wastes your strongest talking points and theirs.
Prepare a project walkthrough before interviewing
Most senior ml engineer system design rounds ask you to walk through a real project end-to-end. Pick one where you made a consequential architecture decision, owned the tradeoffs, and can explain what you would do differently. Vague project summaries are the most common screen failure.
Negotiate scope before you negotiate compensation
At the senior level, the team size, GPU budget, and model ownership structure affect your actual work more than base pay does. Clarify those in the final round before discussing offer details so you can evaluate whether the role matches your growth goals.
Follow up with a technical observation after interviews
A follow-up email that references a specific technical problem from the interview, adds a detail you did not get to, or proposes an alternative approach signals engagement that generic thank-you notes do not. It also gives the hiring manager something concrete to share with the panel.
Senior ML Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior ml engineers?
The companies hiring the most senior ml engineers right now include TikTok, Apple, and CVS Health, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in companies with active model deployment needs rather than early-stage research programs.
How many senior ml engineer jobs are remote?
About 56% of senior ml engineer openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible senior engineering roles. Sub-areas with the highest remote share include NLP, ranking systems, and applied research, where most collaboration happens asynchronously through code and documentation.
How do you become a senior ml engineer?
Reaching the senior ml engineer level typically requires building and shipping production ML systems, not just research notebooks. Start by owning a model end-to-end at a current employer, from data pipeline to serving infrastructure. Then deepen your MLOps knowledge, contribute to system design decisions, and mentor junior teammates. Documented production impact in your portfolio moves you past resume screens faster than additional credentials.
Can you get a senior ml engineer job with limited experience?
Breaking into senior ml engineer roles with limited direct experience is difficult but possible through adjacent paths. Engineers with strong software engineering backgrounds who have shipped ML-adjacent systems, such as real-time feature stores or data pipelines, are often considered. Demonstrating ownership of a deployed model project, even from a side project or open-source contribution, matters more than years on a resume at many companies.
What does the senior ml engineer interview process look like?
Most senior ml engineer interview processes include a recruiter screen, a take-home or live coding round focused on ML fundamentals, a system design session covering model serving or training infrastructure at scale, and a behavioral round assessing cross-functional collaboration. Some companies also include a research or paper discussion round. The system design round carries the most weight at the senior level and is where most candidates differentiate themselves.
Where can I find and apply to senior ml engineer jobs?
You can find and apply to senior ml engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing without being redirected to separate employer portals.
See All 1,936+ Senior ML Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs