ML Software Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI builds the data infrastructure behind some of the most advanced AI systems in the world, and ML Software Engineer roles sit at the core of that mission. Scale AI has a consistent track record of sponsoring work visas for engineering talent, including H-1B, E-3, and OPT transitions.
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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
BASIC QUALIFICATIONS
- Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
- A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
- At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
- Strong written and verbal communication skills, along with the ability to work effectively across teams.
PREFERRED QUALIFICATIONS
- Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
- Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
- Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
- Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
- Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture.
We do not conduct LeetCode-style problem-solving assessments.
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000—$315,000 USD.
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
BASIC QUALIFICATIONS
- Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
- A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
- At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
- Strong written and verbal communication skills, along with the ability to work effectively across teams.
PREFERRED QUALIFICATIONS
- Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
- Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
- Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
- Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
- Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture.
We do not conduct LeetCode-style problem-solving assessments.
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000—$315,000 USD.
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all 71+ ML Software Engineer at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer at Scale AI roles.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Scale AI Jobs
Tailor your resume to Scale AI's evaluation stack
Scale AI's ML engineering roles emphasize data pipeline work, model evaluation, and RLHF tooling. Highlight hands-on experience with large-scale dataset labeling systems, ranking models, or fine-tuning workflows rather than generic ML project descriptions.
Target roles aligned with your visa category
Scale AI sponsors multiple visa types including H-1B, E-3, TN, and OPT. Before applying, confirm the specific role qualifies as a specialty occupation under USCIS guidelines, which requires a direct nexus between your degree field and the position's technical duties.
Front-load your degree equivalency documentation
USCIS scrutinizes specialty occupation claims for ML roles when the applicant holds a three-year degree or a degree from a field adjacent to the job. Have a credential evaluation from a NACES-approved agency ready before your employer files the H-1B petition.
Use Migrate Mate to surface open ML roles at Scale AI
Scale AI posts ML Software Engineer openings across multiple teams at different seniority levels. Use Migrate Mate to filter specifically for Scale AI roles that list visa sponsorship, so you're applying to positions where sponsorship is already confirmed rather than guessing.
Align your offer letter language with the LCA wage level
Before your employer submits the Labor Condition Application to DOL, verify your offered salary meets the prevailing wage for your specific location and job title. Mismatches between the LCA wage level and your offer letter are a common cause of H-1B delays at the petition stage.
ML Software Engineer at Scale AI jobs are hiring across the US. Find yours.
Find ML Software Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for ML Software Engineers?
Yes, Scale AI sponsors H-1B visas for ML Software Engineers. The process requires your role to qualify as a specialty occupation under USCIS criteria, meaning your position must typically require at least a bachelor's degree in a specific technical field such as computer science, machine learning, or a closely related discipline. Cap-subject petitions follow the standard April filing window for an October 1 start date.
How do I apply for ML Software Engineer jobs at Scale AI?
Apply directly through Scale AI's careers page, or use Migrate Mate to browse current ML Software Engineer openings at Scale AI filtered by visa sponsorship availability. Scale AI's ML engineering interviews typically include multiple technical rounds covering systems design, ML fundamentals, and coding, so preparing specifically for evaluation and data pipeline problem sets will put you in a stronger position than general algorithm prep.
Which visa types does Scale AI commonly use for ML Software Engineers?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and EB-2 or EB-3 Green Card pathways for ML Software Engineers. Australian citizens are eligible for the E-3, which has no lottery and allows a faster path to starting work. Canadian and Mexican nationals in qualifying ML roles may use the TN visa. OPT and CPT are common entry points for candidates transitioning from U.S. university programs.
What qualifications does Scale AI expect for ML Software Engineer roles?
Scale AI generally looks for strong fundamentals in machine learning, experience with large-scale data systems, and proficiency in Python. For mid-to-senior roles, familiarity with model evaluation frameworks, RLHF pipelines, or distributed training infrastructure is a meaningful differentiator. A bachelor's or master's degree in computer science, statistics, or a related field is standard. Research publications or prior work with foundation models can strengthen your application for senior positions.
How long does the visa sponsorship process take for an ML Software Engineer at Scale AI?
Timeline depends on your visa category. F-1 OPT allows you to start work within weeks of graduation with employer authorization. H-1B cap-subject cases require registration in March and a start date no earlier than October 1 of the same year. E-3 and TN visas can often be processed at a U.S. consulate within a few weeks. USCIS premium processing for H-1B petitions currently provides a 15 business day adjudication window once the petition is filed.
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