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Junior Machine Learning Compiler Engineer Jobs in Washington

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications. This role combines ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems.

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0245170 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

AISquared

Machine Learning Engineer

Washington, DC · On-site

Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0245828 Machine Learning Engineer The Opportunity: As an experience d AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

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Junior Machine Learning Compiler Engineer information

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Washington?

The most popular types of Machine Learning Compiler Engineer jobs in Washington are:

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Washington?

For Junior Machine Learning Compiler Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Compiler Engineer jobs in Washington look for?

The top searched job categories for Junior Machine Learning Compiler Engineer jobs in Washington are:

What cities in Washington are hiring for Junior Machine Learning Compiler Engineer jobs?

Cities in Washington with the most Junior Machine Learning Compiler Engineer job openings:

Junior Machine Learning Compiler Engineer jobs near you

Machine Learning Engineer

Booz Allen Hamilton

Arlington, VA • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Re-posted 29 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

Job description

Machine Learning Engineer

As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data to support defense technology solutions. You will lead mission‑critical AI initiatives that enable faster mission success, collaborate with data engineers, data scientists, solutions architects, and product owners, and guide clients through AI strategy and solution design.

Responsibilities
  • Own and define the direction of AI solutions for national security use cases.
  • Design, develop, and deploy machine learning models, including deep learning, computer vision, and generative AI.
  • Conduct statistical analyses and model validation on large datasets.
  • Collaborate with cross‑functional teams to deliver world‑class AI solutions.
  • Advise clients on ML algorithms, tools, and frameworks.
Qualifications
  • 2+ years of experience in artificial intelligence, data science, or machine learning engineering, including developing and deploying models.
  • Proficiency in Python and libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Experience coding with Python, C++, Rust, or Java.
  • Hands‑on experience with deep learning, computer vision, or generative AI.
  • Data handling and model development expertise.
  • Ability to solve technical client problems.
  • Secret clearance.
  • Bachelor’s degree.
Preferred
  • Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph.
  • Experience with supervised and unsupervised learning.
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation & Benefits
  • Projected compensation range: $77,600.00 to $176,000.00 annualized USD.
  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
  • Recognition awards program for exceptional performance.
Work Model

Employees may work remotely, in hybrid, or onsite depending on the role. Remote positions may require occasional in‑person work at a Booz Allen or customer facility. Hybrid positions may require frequent onsite presence at a Booz Allen facility and customer visits. Onsite positions are primarily performed at an office or customer location.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable law.

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What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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