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Junior Machine Learning Compiler Engineer Jobs in Florida

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

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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 Florida?

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

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

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

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

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

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

Junior Machine Learning Compiler Engineer jobs near you

Machine Learning (ML) Engineer

Tampa, FL • On-site

Command Holdings
See more jobs at Command Holdingsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

WWC Global, an operating firm of Command Holdings, is seeking a Machine Learning (ML) Engineer to serve on a potential contract supporting USSOCOM's mission to transform the SOF Enterprise into a decisive data-centric organization by applying scientific methods, algorithms, processes, and systems to extract actionable insights and knowledge from both structured and unstructured data, enabling the full spectrum of analysis, including descriptive, diagnostic, predictive, and prescriptive analytics.
Responsibilities may include, but are not limited to:
  • Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage.
  • Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time.
  • Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk.
  • Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows.
  • Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development.
  • Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies.
  • Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning.
  • Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process.
  • Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption.
  • Utilizing appropriate code share repositories (e.g., GitHub) for all development activities.

This position is contingent on contract award.
Work Environment:
  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
  • Ability to sit at a computer terminal for an extended period of time.

Physical Demands:
  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
  • Employee is often required to sit and use their hands and fingers to operate a computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:
  • 0-10% / Minimal travel.

WWC Global, an operating firm of Command Holdings, is a tribally-owned firm providing management consulting services to U.S. government agencies.
Pursuant to PL 93-638, as amended, preference will be given to qualified Native Americans and spouses in all phases of employment.
At WWC Global, our employees are the embodiment of our success as a firm. Our team is comprised of a tenacious group of professionals located across the globe. It includes military veterans and spouses of active duty troops, former federal employees, policy experts, academics, attorneys, and technical and business experts, all of whom share a strong work ethic and the skills to succeed in both collaborative and independent environments. WWC Global is invested in the long-term success of both our clients and colleagues for the right reasons. Our dedication to putting good government into practice is underpinned by a merit-based culture that measures success by productivity and credibility.
WWC Global will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to the Human Resources Team.
WWC Global is committed to equal employment opportunity based on merit. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law, and in accordance with EO 14173 and Federal Employment Laws: Equal Employment Opportunity and Employee Polygraph Protection Act.
WWC Global's Affirmative Action Program is available to any employee or applicant for employment for inspection upon request, to the extent required by federal regulations. The Affirmative Action Program can be accessed during normal business hours by making an appointment with the Human Resources Team.
Basic Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field.
  • Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments.
  • Current, active TS/SCI security clearance.
  • Outstanding communication skills, influencing abilities, and client focus.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id and at https://www.tsa.gov/travel/security-screening/identification.
  • Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position.

Preferred Requirements
  • Master's degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
  • Experience working in DoD or Intelligence Community environments.
  • Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations.
  • Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments.
  • Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases.
  • Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints.
  • One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification.

Benefits
WWC Global offers a competitive benefits plan including:
  • Health, Dental, and Vision Insurance
  • Flexible Spending Accounts
  • Life and Disability Insurance
  • 401(k)
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Pet Insurance

*Eligibility requirements apply
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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