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Machine Learning Compiler Engineer Jobs in Virginia

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.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242757 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 ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0244880 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 ...

Machine Learning Engineer

Arrington, VA · On-site

$77.60 - $176/hr

R0242757 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 ...

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the Role We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, build ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0246231 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 ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Showing results 41-60

Machine Learning Compiler Engineer information

See Virginia salary details

$31.2K

$127.7K

$191.8K

How much do machine learning compiler engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning compiler engineer in Virginia is $127,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 per year, depending on experience, location, and employer.

What is a machine learning compiler engineer?

A Machine Learning Compiler Engineer focuses on optimizing and building compilers that translate high-level machine learning models into efficient code runnable on specialized hardware (e.g., GPUs, TPUs). They work on improving performance, memory usage, and execution efficiency of ML workloads by designing compiler optimizations, code generation techniques, and leveraging frameworks like LLVM or MLIR. Their role bridges the gap between ML researchers and hardware engineers, ensuring models run efficiently on target platforms.

What are the typical daily responsibilities of a machine learning compiler engineer?

As a Machine Learning Compiler Engineer, your daily responsibilities often include designing and implementing new compiler optimizations, collaborating with machine learning researchers to support model deployment, and debugging performance or correctness issues in compiled code. You may participate in code reviews, write technical documentation, and conduct benchmarking to evaluate how machine learning models perform on various hardware backends. Close collaboration with hardware engineers, software architects, and data scientists is common, ensuring end-to-end solutions meet both research and production requirements. Staying updated with the latest advancements in both compiler technology and machine learning frameworks is also a key aspect of the role.

What are the key skills and qualifications needed to thrive as a machine learning compiler engineer?

A Machine Learning Compiler Engineer needs a deep understanding of computer science fundamentals, compiler theory, and experience with machine learning frameworks, often supported by a relevant degree in computer science or engineering. Proficiency with tools such as LLVM, TVM, MLIR, and languages like C++, Python, and CUDA is typically required, and familiarity with hardware architectures is a plus. Strong problem-solving, teamwork, and communication skills are essential for collaborating with cross-functional teams and addressing complex system issues. These capabilities are important for designing and optimizing compilers that enable scalable and efficient deployment of machine learning models on diverse hardware platforms.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Virginia? The most popular types of Machine Learning Compiler Engineer jobs in Virginia are:
What are popular job titles related to Machine Learning Compiler Engineer jobs in Virginia? For Machine Learning Compiler Engineer jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Machine Learning Compiler Engineer job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,665 per year, or $61.4 per hour.

Machine Learning Engineer

Somatus, Inc.

Mclean, VA • On-site

$105K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago


Somatus rating

6.7

Company rating: 6.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

How We Show Up for Our Patients:
As a leading provider of outcomes-driven care for individuals and communities living with chronic conditions, Somatus is helping patients across the country enjoy More Healthy Days at Home™.
Care at Somatus goes beyond treatment. Through a whole-person approach, we deliver outcomes-driven integrated care and show up #SomatusStrong for our patients and teammates. We partner closely with health plans, health systems, and provider groups to support patients with, or at risk of developing, cardio, kidney, metabolic, or other chronic conditions.
We hire the brightest and boldest - talent driven by purpose and impact. Since our founding in 2016, our growth trajectory isn't just a milestone - it's a signal. Our leadership values culture and leads with intention as we remain dedicated to driving clinical excellence.
Does this sound like you? Keep reading.
How We'll Support You:
We offer 25+ health, growth, and wealth work perks to help teammates be the best version of themselves, including:

  • Subsidized personal healthcare coverage: Medical, Dental & Vision, plus Wellness programs
  • Paid Time Off: Flexible PTO
  • Professional development: CEU and tuition reimbursement

How You'll Make an Impact:
Somatus is on a mission to be the world's best provider of integrated care for patients with or at risk of developing kidney disease. A core component of our mission is the effective and impactful use of data to support patient care. 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. Our culture is data-driven, collaborative, results-focused, and fast-moving.
If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!
  • Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
  • Assist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance.
  • Build pipelines for training, evaluating, and deploying models.
  • Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques to uncover meaningful insights.
  • Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed.
  • Stay current with trends and developments in the AI, machine learning, and healthcare technology communities.

How You'll Strengthen Our Team:
Qualifications:
  • Bachelor's or Master's Degree with 1 or more years of experience in a machine learning-related role, or PhD
  • At least 1 year of experience with Python
  • Some experience with relational databases and SQL
  • Understanding of software engineering best practices and software development lifecycle
  • Familiarity with Git and issue tracking tools such as JIRA
  • Familiarity with Linux and CLI

Preferred Qualifications:
  • Experience in healthcare industry and working with healthcare data
  • Experience with cloud infrastructure (Azure, AWS, or GCP)
  • Experience with Docker
  • Experience with Natural Language Processing
  • Experience with effectiveness research

Compensation:
$105,000 to $115,000 per year
We offer competitive compensation that reflects market conditions and recognizes the skills, experience, and contributions of our team members. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, experience, and geographic location and may fall outside of the range shown above. In addition, this position may be eligible for a discretionary performance-based bonus in accordance with the Company's applicable incentive compensation plans.
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Our Commitment to Diversity:
At Somatus, we celebrate what makes us unique - our people. We believe that a culture intentionally built to foster and support our unique passions, experiences, and perspectives helps fuel us in the pursuit of our mission.
Somatus, Inc. provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by law. Discrimination of any type will not be tolerated.

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