Machine Learning Engineer, Public Sector

Machine Learning Engineer, Public Sector

Join to apply for the Machine Learning Engineer, Public Sector role at Scale AI

Machine Learning Engineer, Public Sector

Join to apply for the Machine Learning Engineer, Public Sector role at Scale AI

The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.
We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.
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.
• Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products
• Build the scalable ML platform to automate our ML service
• Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
• Be able, and willing, to multi-task and learn new technologies quickly
• This role will require an active security clearance or the ability to obtain a security clearance.
  

Ideally You’d Have:

• Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch
  

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience with generative AI models
  

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:
$224,400—$293,250 USD
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 Washington DC, Texas, Colorado is:
$201,960—$263,925 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Scale AI by 2x

Get notified about new Machine Learning Engineer jobs in San Francisco Bay Area .

San Francisco, CA $160,000.00-$180,000.00 2 days ago

Software Engineer, AI Intern (Fall 2025)

San Francisco Bay Area $57.00-$61.00 2 weeks ago

San Francisco, CA $130,000.00-$238,000.00 2 weeks ago

San Francisco, CA $40,000.00-$70,000.00 2 weeks ago

San Francisco, CA $145,000.00-$230,000.00 2 weeks ago

Mountain View, CA $125,400.00-$188,100.00 2 weeks ago

Software Engineer, AI Platform - New Grad

San Francisco, CA $220,000.00-$350,000.00 2 weeks ago

San Jose, CA $130,000.00-$180,000.00 2 weeks ago

San Francisco, CA $130,000.00-$140,000.00 2 weeks ago

Software Engineer (L4), Content & Business Products

Software Engineer, Frontend (All Levels)

San Francisco, CA $150,000.00-$220,000.00 2 weeks ago

San Francisco, CA $150,000.00-$230,000.00 2 months ago

Full Stack Software Engineer - Post-training

San Francisco, CA $130,000.00-$240,000.00 2 days ago

San Francisco, CA $150,000.00-$283,000.00 2 weeks ago

(General Hire) Software Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)

San Jose, CA $113,500.00-$250,000.00 2 weeks ago

San Francisco, CA $105,600.00-$198,000.00 4 days ago

New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 9 months ago

Palo Alto, CA $152,400.00-$228,700.00 2 weeks ago

San Francisco, CA $140,000.00-$195,000.00 4 days ago

San Francisco, CA $125,000.00-$175,000.00 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr