Data Scientist Jobs at Scale AI with Visa Sponsorship
Data Scientist jobs at Scale AI involve building the data pipelines and evaluation systems that train frontier AI models. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, E-3 visa, and OPT pathways from offer through filing.
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Get Access To All JobsINTRODUCTION
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team.
ROLE AND RESPONSIBILITIES
In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will:
- Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
- Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.
BASIC QUALIFICATIONS
Ideally you’d have:
- 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
- Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
- Show a track record of mentoring and leading teams in successful projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
- Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
- Experience driving cross functional collaboration and communication at an organizational or broader level.
PREFERRED QUALIFICATIONS
Nice to haves:
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
- Experience with performance tuning and cost optimizations of cloud based data platforms.
- Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
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.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $248,400—$310,500 USD
LOCATION
Please reference the job posting's subtitle for where this position will be located.
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.
INTRODUCTION
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team.
ROLE AND RESPONSIBILITIES
In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will:
- Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
- Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.
BASIC QUALIFICATIONS
Ideally you’d have:
- 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
- Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
- Show a track record of mentoring and leading teams in successful projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
- Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
- Experience driving cross functional collaboration and communication at an organizational or broader level.
PREFERRED QUALIFICATIONS
Nice to haves:
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
- Experience with performance tuning and cost optimizations of cloud based data platforms.
- Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
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.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $248,400—$310,500 USD
LOCATION
Please reference the job posting's subtitle for where this position will be located.
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 Data Scientist Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs at Scale AI.
Get Access To All JobsTips for Finding Data Scientist Jobs at Scale AI
Frame Your ML Annotation Experience Precisely
Scale AI's Data Scientist roles often sit at the intersection of model evaluation and data labeling infrastructure. Tailor your resume to highlight experience with RLHF pipelines, benchmark dataset construction, or human feedback systems rather than generic ML modeling.
Target Roles Tied to Foundation Model Teams
Scale AI structures data science work around specific model customers and internal research initiatives. Search for openings tied to generative AI, red-teaming, or model quality rather than applying broadly to every Data Scientist listing on their careers page.
Verify Your OPT Timing Before Signing
If you're on F-1 OPT, confirm your remaining authorization window against Scale AI's typical onboarding timeline. STEM OPT extensions give you up to 24 additional months, but your employer must be E-Verify enrolled, which Scale AI is, so confirm before your start date.
Prepare a Specialty Occupation Evidence File Early
For H-1B sponsorship, USCIS requires the role to qualify as a specialty occupation requiring a directly related bachelor's degree or higher. Collect course transcripts, prior job descriptions, and published work that ties your degree field specifically to data science methodology.
Use Migrate Mate to Filter Active Scale AI Openings
Visa-sponsored Data Scientist roles at Scale AI don't always stay open long. Use Migrate Mate to filter Scale AI listings by the visa types you hold so you're applying to roles where sponsorship is already confirmed, not guessing from the job description.
Negotiate Offer Timing Around H-1B Cap Deadlines
H-1B cap-subject petitions have a fixed October 1 start date, and USCIS registration opens in March. If Scale AI extends an offer outside that window, ask whether cap-exempt filing or a start date adjustment is possible to avoid a gap in work authorization.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Data Scientists?
Yes, Scale AI sponsors H-1B visas for Data Scientist roles. The company files cap-subject petitions during the annual USCIS registration period in March, with an October 1 start date if selected. For candidates already holding H-1B status with another employer, Scale AI can file an H-1B transfer, which takes effect once USCIS receives the petition.
How do I apply for Data Scientist jobs at Scale AI?
Applications go through Scale AI's careers page, where roles are listed by team and function. For visa-sponsored openings specifically, Migrate Mate filters Scale AI's active Data Scientist listings by visa type so you can confirm sponsorship eligibility before applying. Most roles require a technical screen followed by a structured data science take-home or live coding assessment.
Which visa types does Scale AI commonly sponsor for Data Scientist roles?
Scale AI sponsors H-1B, E-3, TN visa, and F-1 OPT and CPT for Data Scientist positions. Australian nationals can use the E-3, which has a dedicated annual allocation and no lottery. Canadian and Mexican nationals in qualifying data science roles may be eligible for TN visa status. Green Card sponsorship through EB-2 or EB-3 is available after an initial period of employment.
What qualifications does Scale AI expect for Data Scientist roles?
Most Data Scientist roles at Scale AI expect a bachelor's or master's degree in statistics, computer science, mathematics, or a closely related quantitative field. Practical experience with large-scale datasets, Python, and model evaluation frameworks is standard. Roles focused on RLHF or foundation model quality often expect familiarity with human feedback systems or benchmark construction on top of core data science skills.
How long does the visa sponsorship process take after a Scale AI offer?
Timeline depends on visa type. OPT transfers to a new employer are immediate if your EAD is valid. H-1B standard processing runs three to five months from filing, while premium processing with USCIS gets an adjudication decision within 15 business days. E-3 consular appointments in Australia currently range from two to six weeks depending on the consulate. Factor these timelines into your start date negotiation with Scale AI's recruiting team.