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Remote Machine Learning Compiler Engineer Jobs in Ohio

Position is currently remote but may work at or visit a facility based on business need. This ... Machine Learning), Informatica PowerCenter and IDR, and legacy on-premise platforms such as ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246721 Location: Dayton,OH,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means ...

Health IT Data Scientist

Continental, OH · Remote

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Develop predictive models and machine learning algorithms. * Perform statistical analyses on ...

Software Data Engineer

Beavercreek, OH · On-site +1

$106K - $127K/yr

Integrate operational machine learning workflows, including online inference, drift monitoring, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

We develop software products involving advanced machine learning and property graph representations ... The Role We are seeking an early-career Solutions Engineer to serve as a technical advocate to ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

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.

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 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 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 most commonly searched types of Machine Learning Compiler Engineer jobs in Ohio?

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

What cities in Ohio are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in Ohio with the most Remote Machine Learning Compiler Engineer job openings:

Supervisor Data Engineering

FirstEnergy

Akron, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


FirstEnergy rating

7.8

Company rating: 7.8 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

35th of 53 rated energy and utility


Job description

About the Opportunity

We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger.

FirstEnergy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.

Location:  Position is currently remote but may work at or visit a facility based on business need. 

This position is within FirstEnergy Service Company, a subsidiary of FirstEnergy Corp.

The Data Engineering Supervisor will supervise the data engineers responsible for building and maintaining the data products that drive analytics solutions. These solutions will generate insights from the connected data within the unified data platform, enabling the organization to advance the data-driven decision-making capabilities of the enterprise.  Some of the environments this team frequently works with are Azure (including Data Lake Storage, Databricks and Machine Learning), Informatica PowerCenter and IDR, and legacy on-premise platforms such as SingleStore, Teradata, and Oracle.  The successful candidate will also perform the following responsibilities:

Responsibilities Include:

  • Actively leading a high performing, empowered team that develops data engineering solutions to serve enterprise data product needs, and to enable advanced analytics (machine learning models, artificial intelligence, and/or statistical models)
  • Oversight of contracted employees, ensuring project work meets contractual milestones and removing blockers as necessary
  • Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes
  • Supporting numerous projects and activities simultaneously, ensuring that squad objectives are consistent with overall department objectives
  • Advocating a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions (including data modelling design methodologies).
  • Supporting the evaluation, implementation and deployment of emerging tools and processes for advanced analytical data engineering, as part of architecture road mapping efforts
  • Participating in the overall project planning for resource balancing for data engineers
  • Participating in vendor management processes including resolving support issues, product road mapping and license renewals
  • Performing quarterly check-in conversations with employees and providing coaching and feedback on performance, expectations, professional development, and career growth
  • Championing FirstEnergy's Core Values & Behaviors, through coaching and by personal example
  • Supporting major incidents, project activities and support concerns off hours as required

Qualifications include:

  • You have a bachelor's degree in a quantitative discipline such as Computer Science or another related field with 7 years related experience. In lieu of a degree, you have 9 years of related experience.
  • Expertise in data lakehouse technologies (such as Databricks or Snowflake) and streaming platforms
  • Expertise in design, build, and deployment of data solutions that support AI, ML, and BI
  • Proficiency in design and implementation of modern data architecture, including cloud services and modern data warehouse tools
  • Experience integrating data quality practices into Data Engineering development patterns
  • Experience developing and implementing operational plans, which may include budgets, processes, and road maps
  • Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions
  • Knowledge of ITIL concepts with a focus on configuration management, change management, and incident management
  • Strong interpersonal, communications, presentation, training & mentoring skills
  • Ability to observe employees, assess performance, and provide feedback

Ability to plan for and support employees in career development opportunities

Benefits, Compensation & Workforce Diversity 
At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract. Unable to sponsor or transfer H-1B visas at this time. 
Safety 
Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards. 
Position Classification 
Exempt 


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