Analytics Engineer Jobs at Scale AI with Visa Sponsorship
Analytics Engineer roles at Scale AI sit at the intersection of data infrastructure and AI model quality, supporting the pipelines that power frontier AI systems. Scale AI has a consistent track record of sponsoring international talent across multiple visa categories for data and engineering functions.
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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 Analytics Engineer Jobs at Scale AI Jobs
Align your portfolio with AI data pipelines
Scale AI's analytics work centers on data quality, labeling pipelines, and model evaluation infrastructure. Before applying, make sure your portfolio shows experience with dbt, SQL at scale, or orchestration tools like Airflow, not just general BI work.
Target roles during active headcount cycles
Scale AI's analytics engineering headcount expands alongside major model training contracts. Monitoring their careers page in Q1 and Q3, when enterprise AI contracts typically close, gives you a better shot at roles that have active sponsorship budget attached.
Prepare your specialty occupation documentation early
For H-1B sponsorship, USCIS requires the role to qualify as a specialty occupation. Analytics Engineer positions at AI companies typically satisfy this through the degree requirement in computer science, statistics, or a related quantitative field. Have transcripts and degree equivalency letters ready before your offer stage.
Ask HR about LCA filing timing at offer
The Labor Condition Application, filed with DOL, must be certified before USCIS can process your H-1B petition. At offer negotiation, confirm the employer's timeline for LCA filing so your start date accounts for the certification window, which typically runs one to two weeks.
Use Migrate Mate to find open roles efficiently
Analytics Engineer openings at Scale AI that include visa sponsorship can be hard to filter on general job boards. Use Migrate Mate to search specifically for Scale AI roles tagged by visa type, so you are only reviewing positions where sponsorship is confirmed.
Analytics Engineer at Scale AI jobs are hiring across the US. Find yours.
Find Analytics Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Analytics Engineers?
Yes, Scale AI sponsors H-1B visas for Analytics Engineer roles. The role must qualify as a specialty occupation under USCIS standards, which Analytics Engineer positions at AI companies generally satisfy given the degree requirements in computer science, statistics, or a related quantitative field. Your employer handles the petition filing, but you should have your academic credentials ready well before the offer stage.
How do I apply for Analytics Engineer jobs at Scale AI?
Applications go through Scale AI's careers page, where Analytics Engineer roles are listed under data or engineering. You can also find open positions filtered by visa sponsorship type on Migrate Mate, which makes it easier to identify roles where international candidates are actively considered. Expect a technical screen covering SQL, data modeling, and pipeline design before any offer conversation.
Which visa types does Scale AI commonly use for Analytics Engineer roles?
Scale AI sponsors H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT including STEM extensions, F-1 CPT, J-1, and employment-based Green Cards through the EB-2 and EB-3 categories. The right visa category depends on your nationality, education level, and current immigration status. OPT and CPT holders can often start while H-1B sponsorship is initiated concurrently.
What qualifications does Scale AI expect for Analytics Engineer roles?
Scale AI's Analytics Engineer roles typically require strong SQL proficiency, experience with data modeling frameworks like dbt, and familiarity with cloud data warehouses such as Snowflake or BigQuery. For sponsorship purposes, a bachelor's degree or higher in computer science, statistics, mathematics, or a related field is expected. Candidates with experience building pipelines that support machine learning workflows have a clear advantage given Scale AI's core business.
How long does the H-1B sponsorship process take at a company like Scale AI?
From offer acceptance to H-1B approval, the standard timeline runs four to six months when including the DOL Labor Condition Application certification and USCIS processing. Premium processing, available through USCIS for an additional fee, can reduce the adjudication window to roughly 15 business days. If you are currently on F-1 OPT, your employment can often begin before the H-1B takes effect on October 1, the start of the federal fiscal year.
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