ZipRecruiter

Log In

Scale AI
Scale AI

60 Scale Ai Machine Learning Engineer Jobs (Flexible Options) Near Me

Scale AI

Solutions Engineer, Enterprise

Manhattan, NY · On-site

Preferred : • GenAI Experience • Forward deployed engineering experience • Machine Learning Experience Company : Scale's mission is to develop reliable AI systems for the world's most important ...

next page

Showing results 1-20

All JobsScale Ai JobsScale Ai Machine Learning Engineer Jobs

Scale AI Jobs Information

Do workers at Scale AI get paid breaks?

Sometimes. Only some people get paid breaks.
43% of people say they don’t get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between April 2025 and March 2026.

Does Scale AI pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
38% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get paid time off at Scale AI?

Most people get paid time off work.
80% of people say they get paid time off.
Based on data from 5 people who took the Breakroom Quiz between May 2025 and March 2026.

Do workers at Scale AI worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between April 2025 and December 2025.

How easy is it to get time off at Scale AI?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do Scale AI managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
83% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

Do jobs at Scale AI spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

How easy is it to take sick days at Scale AI?

Most people find it easy to take sick days.
88% of people report that it’s easy to take time off if they are sick.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI get to take their breaks without interruption?

Most people get breaks without interruption.
78% of people report that they get to take their breaks without interruption.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Is it stressful to work at Scale AI?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI enjoy their jobs?

Only some people enjoy their job.
50% of people report they don’t enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI recommend working with their team?

Most people recommend working with their team.
67% of people report that they would recommend working with their immediate team to a friend.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get enough training when they start at Scale AI?

Some people didn’t get enough training when they started.
67% of people report they didn’t get enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get support to advance at Scale AI?

Only some people are given support to advance their career here.
In the last year, 50% of people report not being given support to advance their career here.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people think Scale AI’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
86% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 7 people who took the Breakroom Quiz between January 2025 and December 2025.

Do workers feel well informed about how Scale AI is doing?

Only some people feel well informed about how the company is doing.
63% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and December 2025.

What other companies are hiring for Machine Learning Engineer jobs?

What are the most popular jobs at Scale Ai?

What are the most popular categories at Scale Ai?

Senior Machine Learning Engineer, Public Sector

Scale AI, Inc.

Washington, DC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies

Job description

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:
  • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
  • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
  • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
  • Work with massive datasets to develop both generic models as well as fine tune models for specific products
  • Build scalable machine learning infrastructure to automate and optimize our ML services
  • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
  • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
  • Comfortable with light travel (approximately 10%) for customer interaction and team needs
  • This role will require an active security clearance
Ideally You'd Have:
  • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
  • Solid background in algorithms, data structures, and object-oriented programming
  • Strong programing skills in Python, experience in Tensorflow or PyTorch
Nice to Haves:
  • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
  • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
  • Experience with computer vision, generative AI models, large language models, or agentic systems
  • Familiarity with ML evaluation frameworks and agentic model design

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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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.

The base salary range for this full-time position in the location of Washington DC is:
$225,750—$282,450 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, Ernst & Young, 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.

What Scale AI employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply