Data Science Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires Data Science Engineers to build and evaluate the training datasets that power AI systems, with roles spanning annotation pipeline design, model quality analysis, and data infrastructure. The company actively sponsors work visas for this function, making it a realistic target if you need employer support.
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Get Access To All JobsINTRODUCTION
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
ROLE AND RESPONSIBILITIES
You will:
- Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases
- Be able and willing to multi-task and learn new technologies quickly
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
- Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
- Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
PREFERRED QUALIFICATIONS
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses
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.
LOCATION
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: $216,000—$270,000 USD
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: 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.
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.
INTRODUCTION
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
ROLE AND RESPONSIBILITIES
You will:
- Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases
- Be able and willing to multi-task and learn new technologies quickly
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
- Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
- Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
PREFERRED QUALIFICATIONS
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses
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.
LOCATION
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: $216,000—$270,000 USD
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: 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.
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.
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Scale AI Jobs
Align your portfolio to data quality work
Scale AI's Data Science Engineer roles center on evaluating model outputs and designing labeling pipelines, not traditional ML modeling. Projects showing experience with data quality metrics, inter-annotator agreement, or ground truth validation will signal direct fit during screening.
Front-load sponsorship in your outreach
Recruiters at AI-focused companies move fast and often filter on authorization early. State your visa type and timeline clearly in your first message so the conversation doesn't stall at offer stage when legal review begins.
Prepare your credential evaluation early
If your Data Science or Statistics degree is from outside the U.S., get a NACES-member credential evaluation before interviews begin. USCIS specialty occupation decisions hinge on degree equivalency, and delays here can push your petition filing window.
Use Migrate Mate to identify open roles at Scale AI
Scale AI posts Data Science Engineer openings across multiple teams and contract types. Use Migrate Mate to filter specifically for roles at Scale AI that are open to visa sponsorship, so you're applying to positions where sponsorship is already confirmed rather than assumed.
Understand the LCA filing step before your offer
Before USCIS can adjudicate your H-1B or E-3 petition, your employer must file a Labor Condition Application with DOL certifying the offered wage meets the prevailing wage for the role and location. This step typically takes one to two weeks and must complete before I-129 submission.
Data Science Engineer at Scale AI jobs are hiring across the US. Find yours.
Find Data Science Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Data Science Engineers?
Yes, Scale AI sponsors H-1B visas for Data Science Engineer roles. Because H-1B is a specialty occupation visa, your degree field needs to directly relate to the position, which is straightforward for most Data Science, Statistics, or Computer Science graduates. If you're subject to the annual cap, petitions are filed in April for an October 1 start, so your offer timing matters.
Which visa types does Scale AI commonly use for Data Science Engineer roles?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and J-1 for this role. Australian citizens can use the E-3, which has no lottery. Canadian and Mexican nationals may qualify for TN. F-1 OPT and CPT cover students in active programs or recent graduates. EB-2 and EB-3 Green Card paths are also available for longer-term sponsorship.
What qualifications and experience does Scale AI expect for Data Science Engineer roles?
Scale AI typically looks for experience with data pipeline design, statistical analysis, and model evaluation frameworks. Strong Python skills are expected, along with familiarity with annotation tooling or ML quality assessment. Roles often sit at the intersection of engineering and research, so candidates who can communicate findings to both technical and non-technical stakeholders tend to advance further in the process.
How do I apply for Data Science Engineer jobs at Scale AI?
You can browse open Data Science Engineer positions at Scale AI through Migrate Mate, which filters for roles where visa sponsorship is confirmed. Once you identify a relevant opening, apply directly through Scale AI's careers page. Tailor your application to emphasize data quality, labeling infrastructure, or model evaluation experience, and state your visa type clearly so the recruiter can route your application correctly from the start.
How do I think about the H-1B filing timeline if I'm targeting a Data Science Engineer role at Scale AI?
If you need a cap-subject H-1B, you need an offer in hand before April registration opens. Scale AI would register your petition in the lottery, and if selected, file by June. Your employment can't begin until October 1. If you're already on F-1 OPT, you can start work earlier and transition to H-1B status without leaving the country, which is the most common path for new graduates targeting roles at AI companies.
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