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Junior Machine Learning Compiler Engineer Jobs in Maryland

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Showing results 21-40

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 Maryland?

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

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

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

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

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

Cleared Machine Learning Software Engineer

Bestgate Engineering

Laurel, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Cleared Machine Learning Software Engineer
Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.
Required:
  • 14+ years of software engineering experience supporting programs of similar scope, type, and complexity
  • Experience developing applications with Python, Java, and Scala in Linux environments.
  • Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
  • Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
  • Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
  • Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
  • Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
  • Required Security Clearance: TS/SCI w/Poly
Desired:
  • Experience with AWS, Apache Spark, and production machine learning implementations.
  • Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.

Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including:
  • Competitive Pay - Less frill for more in your base pay.
  • Flexible PTO to fit your work/life needs + 11 holidays.
  • 7% 401k Employer Gift - Vested immediately.
  • 100% Paid Carefirst medical premiums for both individuals and families.
  • Training/Career Pathing - Annual budget for training, mentoring, and an Internal Mobility Program.
  • Morale Building Events - Time given to enjoy connecting with other Bestgate Employees.

Apply to learn more about us, and the work we have available!
External Referral Program - If now's not the right time, but you know someone that is looking for a change, we offer competitive external referral bonuses for every hire!
Equal Employment Opportunity: Bestgate Engineering is an Equal Opportunity Employer and federal contractor. We recruit, hire, train, compensate, and promote qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.