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Remote Machine Learning Compiler Engineer Jobs in Maryland

General Motors

Senior AI/ML Engineer

Annapolis, MD · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Deloitte

AI and Data Science Engineer III

Baltimore, MD · On-site +1

$113K - $136K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... You'll work with a cross-functional team of engineers to contribute to our data platform. The role ...

Fuse Engineering LLC

Software Engineer

Annapolis, MD · On-site +1

Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently ...

Ex Parte, Inc

Senior Data Engineer

Bethesda, MD · On-site +1

$113K - $153K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... You'll work with a cross-functional team of engineers to contribute to our data platform. The role ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... programming, and machine learning framework development. * MLOps experience deploying and ... This specific role is primarily remote, with occasional travel to an office or client site. Strong ...

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Remote Machine Learning Compiler Engineer information

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
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:
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Remote Machine Learning Compiler Engineer jobs near you

Lead AI/Ml Engineer with Security Clearance

Capital Technology Group LLC

Silver Spring, MD • On-site, Remote

$106K - $139K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking individuals to help support high-impact, civic tech within the federal government. As an integral part of the program, the Lead AI/ML Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, leads teams to support the adoption of new technologies across the enterprise. The Lead AI/ML Engineer will also provide technical leadership by supervising and mentoring junior IT specialists. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance Responsibilities
Leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts
Analyzes and communicates the benefits and risks in implementing solutions using the new technologies
Shall have the ability to perform as a developer, operations, and security engineer in cloud environments
Lead teams to support the adoption of new technologies across the enterprise
Provides technical leadership by supervising and mentoring junior IT specialists Requirements
Bachelors Degree
7-10 years of relevant experience
At least 3 years of experience deploying production enterprise applications in AWS
At least 2 years of experience deploying production enterprise applications with an AI/ML component
Strong proficiency in Python
Experience with machine learning frameworks such as TensorFlow or PyTorch
Experience with machine learning services such as Bedrock, SageMaker, Hugging Face, Weights & Biases, or others
Solid data manipulation and analysis skills using pandas
Experience presenting and defending test or experiment results (matplotlib)
Experience working with cloud platforms, with AWS preferred Must be able to get up-to-speed quickly on new projects and technologies
Strong communication and problem-solving skills
Comfortable presenting and speaking with clients/customers
People Management Experience Full Time Employee Benefits
Remote Work (Hybrid roles will be specified in the job post)
Competitive Compensation Package
Medical, Dental, and Vision
Life Insurance, Short/Long Term Disability
Employee Assistance Program
401(k) with 4% matching
Liberal PTO vacation policy
Generous Annual Continuing Education
Annual Wellness Budget
Bonus Incentive Programs (Employee referrals and performance-based rewards)

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