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Remote Machine Learning Compiler Engineer Jobs in Springfield, MA

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Principal Data Engineer to build, develop, and maintain cloud-native software web applications and ... machine learning infrastructure design;End-to-end data science lifecycle/workflow;Product ...

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...

Sr. Data Scientist

Hartford, CT · On-site +1

$101K - $203K/yr

Machine learning, including developing algorithms, data mining, pattern recognition, and supervised/unsupervised learning; Programming in R, Octave, and Python; and Matlab, SAS, or SPSS. Pay Range ...

Linear Algebra Tutor

Hartford, CT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

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Remote Machine Learning Compiler Engineer information

See Springfield, MA salary details

$74.7K

$166.9K

$204.3K

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

As of Jul 10, 2026, the average yearly pay for remote machine learning compiler engineer in Springfield, MA is $166,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,500.00 and $204,300.00 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 are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Springfield, MA? For Remote Machine Learning Compiler Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Springfield, MA with the most Remote Machine Learning Compiler Engineer job openings:
Principal Data Engineer

Principal Data Engineer

CVS Health

Hartford, CT • On-site, Remote

$147K - $288K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,274 frontline employees who took The Breakroom Quiz

80th of 103 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: Caremark, LLC., a CVS Health company, is hiring for the following role in Hartford, CT: Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer customer needs; participate in entire software lifecycle development, testing, CI/CD and production operations; develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case; and mentor junior Cloud Engineers. Telecommuting available. Multiple positions. Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following:Software development lifecycle (SDLC);CI/CD, Jenkins, GIT, or DevOps;Java, Python, or Node.js;XML, JSON, HTML, CSS, or JavaScript;Agile methodologies or SAFe Software Development Principles;Angular, JavaScript, React, jQuery, Ajax, Bootstrap, or Backbone;REST, SOAP, or Web Service APIs;Docker or Kubernetes;Hadoop and Hive;Spark, PySpark, or Scala;Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL;Unix, Linux, or Shell scripting;Developing backend services, performing code reviews, and collaborating with peers on software development solutions;Contributing to large-scale applications development, data science, or data analytics projects;Designing data models and solutions for analytical and reporting use cases;Big Data implementation;Developing data science products;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design;End-to-end data science lifecycle/workflow;Product management in a large, matrixed organization with many internal partners;Working with UI/UX teams to develop wireframes and prototypes based on end user feedback and human centered design;Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy; andSupporting large data, analytics, and technology modernization initiatives. Pay Range: $147430.00/year to $288400.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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