Senior Machine Learning Engineer, Public Sector

Scale AI; Washington (District of Columbia); Presencial; USD 226.000 - 282.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Descripción de la vacante

Scale AI in Washington DC seeks a Senior Machine Learning Engineer to deploy generative AI and agentic systems in production, enhancing government and enterprise products. You will work on LLMs, computer vision, and reinforcement learning, collaborating with product and research teams across large datasets.

The role emphasizes scalable ML infrastructure, cross-functional leadership, and rapid adaptation in a fast-paced environment, with travel and a clear security clearance requirement.

Formación

• Extensive experience with GenAI, Agentic AI, NLP, DL or CV in production.
• Strong background in algorithms, data structures, and OO programming.
• Proficient in Python; experience with TensorFlow or PyTorch in production environments.

Responsabilidades

• Take state-of-the-art models and deploy them in production to solve customer problems.
• Improve production models via retraining, hyperparameter tuning, and architecture updates.
• Collaborate with product and research teams on ML-driven product enhancements.
• Work with massive datasets to develop generic and product-specific models.
• Build scalable ML infrastructure to automate ML services.
• Represent ML techniques across engineering and product orgs.
• Learn new technologies quickly while managing multiple priorities.
• Travel up to ~10% for customer interaction and team needs.
• This role requires an active security clearance.

Conocimientos

Generative AI

Agentic AI

NLP

Deep learning

Computer vision

Algorithms

Data structures

OOP

Python

Educación

Graduate degree in CS/ML/AI

Herramientas

TensorFlow

PyTorch

Descripción del empleo

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 programming 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. 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 [e-mail]. 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_._

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