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Remote Machine Learning Compiler Engineer Jobs in Norristown, PA

Comcast

Data Scientist 2 - Virtual

PA · On-site +1

$66K/mo

Strong programming skills in Python and SQL; Spark/PySpark experience preferred. * Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based ...

Jj

Senior Scientist, In-Silico Formulations

Malvern, PA · On-site +1

D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or ... Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Norristown, PA

Remote Machine Learning Compiler Engineer information

See Norristown, PA salary details

$71.6K

$159.7K

$195.6K

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

As of Aug 9, 2026, the average yearly pay for remote machine learning compiler engineer in Norristown, PA is $159,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,400.00 and $195,600.00 per year, depending on experience, location, and employer.

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 cities near Norristown, PA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Norristown, PA with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you

Backend Engineer (Python/Django & AWS) | $120-150K | Exciting IT Consulting Firm

Chariot Solutions

Fort Washington, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

Company Description
***YOU MUST BE A CITIZEN OF THE UNITED STATES, HAVE YOUR GREEN CARD OR LONG TERM VISA TO APPLY TO THIS POSITION. You can Work Remotely anywhere in the United States for this position but the Greater Philadelphia Area is ideal. We are currently 100% remote, but when businesses open back up there will likely be occasional travel for meetings.***
Chariot Solutions has 18+ years of experience solving challenging business problems with technology and is a top IT consulting firm specializing in software, mobile, cloud and data pipeline engineering. Our team includes many of the top software architects in the Philly area, with deep technical expertise, industry knowledge and a genuine passion to help your organization be on the forefront of digital transformation.
Chariot Solutions Specializes in:
  • Software Development - Quality is something we never compromise on - from the user experience, to the code, we craft solutions using best practices including agile development and automated testing, leaving you with a solid foundation to achieve success, growth and ROI.
  • Mobile Development - Our iOS and Android engineers and designers are passionate about creating the ultimate user experience for you and your customers. That's why we focus on usability and performance to design, build, and deliver best-in-class mobile applications.
  • Cloud Development - Find out what AWS cloud computing can do for your business. It takes an expert to guide you through the cloud journey. Understand the hidden challenges of developing software in the cloud.
  • Data Pipeline Engineering - Support your Business Intelligence, Machine Learning and AI initiatives with innovative, production ready, Data Engineering and Data Pipeline Optimization strategies powered by tools such as Apache Airflow, AWS Redshift and Lambda.

Job Description
We are looking for engineers with practical development experience and drive.
  • Work on a wide array of projects, from strategy and architecture engagements to a full life-cycle development, systems integration, performance tuning, training and mentoring.
  • Comfort with one or more application development frameworks: Spring, Express or HAPI, Django or Flask, etc.
  • Design and development of cloud-native applications (compute, database, storage, managed services).
  • Containerization and Deployment (Docker, Kubernetes, ECS, CloudFormation, Terraform).

Qualifications
  • You MUST have 5+ years of experience with Python/Node.js or Java, Django, and AWS.
  • Fluency with SQL and/or NoSQL databases.
  • Knowledge of networking (VPC, subnets, availability zones) and security (IAM roles and policies).
  • Bonus points for front-end experience with skills such as Javascript, Typescript, frameworks like Angular, React, or VueJS and styling with CSS.
  • Bonus points for having Go, Clojure, Scala, Apache Spark, Hadoop, Stream Processing, Mobile technologies: iOS (Swift/Objective-C), and Android (Kotlin/Java) native applications.
  • Bonus points for being involved in the Tech community (i.e. run user group, tech meetings, posts on social media).
  • Analytical, good energy, solid communications skills.
  • Excellent problem-solving, communication and analytical skills.

Additional Information
Benefits
  • Benefits for a single subscriber > $30K; family > $40K.
  • Cover full cost (no premium, no deductible) to employees and their dependents health care, dental and vision.
  • Top of the line MacBook Pro or equivalent.
  • Short and long term disability.
  • 401K retirement plan.
  • Flexible spending account.
  • Subsidized gym membership.
  • Company stock (stock is given out to all new employees on Jan 1st following your first year anniversary with us. The company stock vests over 3 years at no commitment to you. More details are provided at the interview with CEO).

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