General Electric Company

Research Engineer II - ML Ops

General Electric Company • $90K — $120K *
Beachwood, OH 44122In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 2-4 years in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure roles.
  • Experience managing production systems in AWS environments.
  • Familiarity with Infrastructure as Code (IaC) methodologies such as Ansible, Terraform, or CloudFormation.
  • Experience with CI/CD systems like GitHub Actions or Jenkins.
  • Strong Linux systems administration skills.
  • Background in supporting research environments or collaborating with research teams.

Responsibilities

  • Partner with DevOps to optimize and support research workloads on AWS.
  • Design and maintain machine learning operations (MLOps) pipelines.
  • Develop internal tools to enhance research workflows and model development.
  • Translate research goals into scalable, maintainable engineering solutions.
  • Promote engineering best practices, including code quality and data management.
  • Manage multiple projects while addressing both immediate research needs and sustainability.
  • Provide mentorship to junior engineers and encourage knowledge sharing.

Benefits

  • Relocation assistance provided.
  • Collaborative, mission-driven work environment.
  • Opportunities for professional growth and mentorship.
  • Access to cutting-edge technologies and research initiatives.
  • Focus on creating impactful engineering solutions.
Full Job Description
Job Description Summary
Are you passionate about building reliable cloud infrastructure that helps researchers innovate faster? In this role, you will work at the intersection of cloud engineering, machine learning operations, and research computing, helping teams develop, test, and deploy cutting-edge solutions that advance MIM Research initiatives.

You'll collaborate with researchers, engineers, and infrastructure partners to create scalable AWS-based environments, develop internal tools, and build engineering solutions that enable impactful research. We are looking for someone who enjoys solving complex problems, learning new technologies, and working in a collaborative, mission-driven environment.

Job Description

Key Responsibilities

In this role, you will:
  • Partner with DevOps and infrastructure teams to migrate, optimize, and support research workloads on AWS cloud platforms.
  • Design, build, and maintain machine learning operations (MLOps) pipelines that support model training, evaluation, deployment, and monitoring.
  • Develop prototypes and internal tools that accelerate experimentation, model development, and research workflows.
  • Translate research objectives into scalable, maintainable, and well-documented engineering solutions.
  • Promote and support engineering best practices, including:
    • Code quality, testing, and reliability
    • Documentation and version control
    • Data management and governance
    • Experiment tracking and reproducibility
  • Effectively manage multiple projects while balancing fast-paced research needs with long-term engineering sustainability.
  • Provide technical guidance and mentorship to early-career engineers and support knowledge sharing across teams.
  • Collaborate closely with research scientists, product teams, and infrastructure partners to deliver impactful solutions.


Required Qualifications
Education & Experience
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 2 to 4 years of experience in DevOps, Site Reliability Engineering (SRE), cloud infrastructure, or related technical roles.
  • Experience supporting production systems within Amazon Web Services (AWS).


Cloud & Infrastructure
  • Experience working with AWS services such as:
    • Compute: EC2, ECS, EKS, Lambda
    • Storage: S3, EFS
    • Data: DynamoDB
    • Machine Learning: SageMaker (training, pipelines, and deployment)
  • Experience with Infrastructure as Code (IaC) tools such as Ansible, Terraform, CloudFormation, or AWS CDK.
  • Familiarity with containerization and orchestration technologies such as Docker, Docker Compose, and Kubernetes.


DevOps & Data Engineering
  • Experience building and maintaining continuous integration and continuous deployment (CI/CD) systems, including tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Strong foundation in Linux systems administration.
  • Experience with monitoring and observability practices using tools such as Prometheus, Datadog, or similar technologies.


Programming & Software Engineering
  • Understanding of software engineering best practices, including:
    • Software design patterns
    • API development (REST and gRPC)
    • Testing methodologies and maintainable code architecture


Research & Applied Machine Learning
  • Experience supporting research environments or collaborating closely with research teams.
  • Ability to work effectively with evolving requirements, experimentation, and iterative development processes.


Collaboration & Leadership
  • Ability to lead technical initiatives involving multiple stakeholders and cross-functional teams.
  • Experience mentoring engineers and supporting the adoption of engineering best practices.
  • Strong communication skills with the ability to connect technical concepts across research and engineering audiences.


Preferred Qualifications

While not required, the following experiences would be valuable:
  • Experience with large-scale distributed computing frameworks such as Spark or Ray.
  • Background in high-performance computing (HPC) or research computing environments.
  • Familiarity with data governance, compliance requirements, or regulated industries.
  • Contributions to open-source projects or published research.
  • Relevant certifications such as:
    • RHCSA or RHCE
    • CKAD
    • AWS Certified Solutions Architect - Associate
    • Or equivalent hands-on experience


What Success Looks Like

In this role, you will help create an environment where:
  • Research teams can efficiently train, evaluate, and deploy machine learning models.
  • Reliable and scalable infrastructure enables research teams to innovate with confidence.
  • Best practices for reproducibility, testing, governance, and documentation are consistently adopted.
  • Engineers at all levels receive mentorship and opportunities to grow.
  • Projects are delivered effectively and aligned with organizational priorities.
  • Research and engineering teams work together seamlessly to accelerate meaningful outcomes.


Relocation Assistance Provided: Yes

About General Electric Company

GE Healthcare provides medical technology, intelligent devices, and care solutions. They offer medical imaging, information technologies, medical diagnostics, patient monitoring systems, performance improvement, drug discovery, and biopharmaceutical manufacturing technologies. GE Healthcare's mission is to improve patient care and outcomes by providing innovative healthcare solutions. Their technologies are used in hospitals, clinics, research institutions, and pharmaceutical companies worldwide to diagnose and treat various medical conditions.

General Electric Company Careers

Join the dynamic team at General Electric Company, a global leader in innovation and technology. As one of the most respected companies worldwide, we offer unparalleled job opportunities that propel your career to new heights. Work You’ll Do At General Electric Company, you’ll be part of a diverse team committed to transforming industries and improving lives through leadership in sectors such as aviation, power, renewable energy, and healthcare. Our culture thrives on innovation and leadership, fostering an environment where you can grow professionally and personally. Lead in a Unique Market Position General Electric Company stands at the forefront of digital and industrial transformation. Here, you’ll leverage your skills to solve complex challenges, drive growth, and lead projects that have a global impact. Our commitment to professional development and diversity training ensures that every team member is equipped to lead and innovate. Collaborate with Industry Experts Work alongside a global network of professionals, each bringing a wealth of knowledge and experience to our collaborative projects. General Electric Company’s culture of inclusivity and teamwork makes it a prime environment for networking and personal development. Innovative Work Join us to work on groundbreaking projects that redefine what’s possible. Our teams at General Electric Company are constantly pushing the boundaries of technology and innovation to create solutions that not only meet but exceed the needs of our customers and communities around the world. Be Part of a Great Team At General Electric Company, we understand that our employees are our greatest asset. That’s why we offer competitive benefits, extensive career advancement opportunities, and a supportive environment that values work-life balance. Our commitment to employee growth is reflected in our robust training programs and our focus on internal mobility. Future-Proof Your Career With a career at General Electric Company, your growth is limitless. Through our various training programs, internships, and leadership development initiatives, you can enhance your skills and advance your career in a direction that aligns with your professional and personal aspirations. Explore Job Opportunities and Internships Whether you’re starting your career or looking to make a significant impact in your field, General Electric Company offers a range of positions and employment opportunities that cater to your talents and ambitions. From internships that provide real-world experience to leadership roles that challenge your strategic thinking, there’s a place for you here. Stay Connected Join Our Team Search open positions that match your skills and interests. We are always on the lookout for passionate, curious, and solution-driven team players. Explore the possibilities that await you at General Electric Company. Keep Up to Date Stay informed with career tips, insider perspectives, and industry-leading insights—all from the people who work here. At General Electric Company, we’re more than a company—we’re a community. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Electric Company and become part of a team that’s reshaping the future of technology and industry. Join General Electric Company today and be a part of our journey to build a better world through essential technology and innovative solutions. Your career at General Electric Company awaits—explore, innovate, and lead with us.
Learn more about General Electric Company
Size
168,000 employees
Market Cap
$90.4 billion
Industry
Business Services
Net Income
$5.7 billion
Founded
1892
5 Year Trend
-9.1%
Revenue
$79.6 billion
NASDAQ
GE
* Ladders Estimates

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