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Staff Software Engineer Machine Learning Jobs in Washington

Mentorship: Guide junior engineers, fostering a culture of continuous learning and improvement ... machinery, and varying temperatures. TCOM offers a variety of benefits, including health and ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

Software Engineer

Chantilly, VA · On-site

$110 - $140/hr

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

New

Mentorship: Guide junior engineers, fostering a culture of continuous learning and improvement ... machinery, and varying temperatures. TCOM offers a variety of benefits, including health and ...

Mentorship: Guide junior engineers, fostering a culture of continuous learning and improvement ... machinery, and varying temperatures. TCOM offers a variety of benefits, including health and ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

Software Engineer

Reston, VA · On-site

$90 - $120/hr

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

New

Staff Software Engineer

Washington, DC · Remote

$170K - $200K/yr

About the Company A rapidly growing healthcare technology company is seeking a Staff Software Engineer to help architect and scale a mission-critical platform used by millions of patients and health ...

Showing results 21-40

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Infographic showing various Staff Software Engineer Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Staff Software Engineer, AI/ML, Google Public Sector

Google Inc.

Reston, VA • On-site

$207 - $300/hr

Other

Re-posted 22 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

Staff Software Engineer, AI/ML, Google Public Sector

Google Reston, VA, USA

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • Experience in technical leadership, including defining technical road maps, delivering projects, and maintaining code quality standards.
  • Experience in parallel computing paradigms, hardware-level optimization, and low-level accelerator optimization.
Preferred qualifications
  • Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Physics, Applied Mathematics, or similar).
  • 8 years of experience designing, building, and operating large-scale distributed data systems and production machine learning deployments.
  • Experience deploying modern deep learning architectures using frameworks like PyTorch or TensorFlow on large-scale clusters.
  • Experience with cloud-native infrastructure (Docker, Kubernetes) and managing distributed filesystems and cloud object storage.
  • Active, or the ability to obtain, a Secret security clearance.

We are seeking a technical Senior AI/ML Software Engineer to lead the architecture and deployment of large-scale distributed data systems and advanced machine learning pipelines. In this role, you will design infrastructure capable of analyzing high-throughput data streams. You will bridge the gap between High-Performance Computing (HPC) and modern AI applications, optimizing complex inference workloads for specialized hardware accelerators while guiding cross-functional engineering teams.

Responsibilities
  • Architect and operate advanced data synthesis pipelines and AI-based retrieval applications.
  • Manage petabyte-scale data ingestion and synchronization across compute environments, including local storage, cloud backends, and on‑prem resources.
  • Optimize highly parallel numerical operations and ML inference algorithms for specialized hardware accelerators.
  • Lead technical direction and provide engineering mentorship for groups developing complex production software systems.
  • Implement rigorous data life‑cycle policies to ensure system resilience, data integrity, and fault recovery at scale.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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