ZipRecruiter

Log In

2

Manager Remote Machine Learning Engineer Jobs in Pennsylvania

The Pennsylvania State University

$115K - $173K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with spatio-temporal data fusion, applicable database architectures and machine learning ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

Harris

$70K - $100K/yr

A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Harris

$70K - $100K/yr

A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

CSAA

Incident Management & Problem Resolution * Serve as a senior escalation point for complex ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...

CSAA

Incident Management & Problem Resolution * Serve as a senior escalation point for complex ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...

CSAA

Incident Management & Problem Resolution * Serve as a senior escalation point for complex ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...

Federal Express Corporation

AI Engineer Lead

Coraopolis, PA · On-site +1

$97K - $128K/yr

... and machine learning solutions that support intelligent automation, predictive insight, and ... Partner with MLOps teams using established CI/CD practices to manage live deployment. * Mission ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Pennsylvania

Manager Remote Machine Learning Engineer information

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Pennsylvania?

For Manager Remote Machine Learning Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Manager Remote Machine Learning Engineer jobs in Pennsylvania look for?

The top searched job categories for Manager Remote Machine Learning Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Manager Remote Machine Learning Engineer jobs?

Cities in Pennsylvania with the most Manager Remote Machine Learning Engineer job openings:

Manager Remote Machine Learning Engineer jobs near you

Senior Software Engineer, AI/ML Platform

Agility Robotics

Pittsburgh, PA • On-site, Remote

$197K - $307K/yr

Full-time

Posted 2 days ago

New

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

Join the team building the machine learning platform to power fleet-scale humanoid robotics. As a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and machine learning operations at Agility. This includes the platform layer for data collection and processing, training, sim and real evaluation, and model management and observability.

Your work will empower our AI teams across perception, controls, skills, and innovation to build and deploy next-generation robot foundation models and end-to-end policies for humanoid robots by providing tools to develop and operationalize machine learning at scale.

Key Responsibilities

Execution and Technical Ownership

    • Contribute to the design and implementation of the ML platform for orchestrating the end to end AI flywheel of data processing, training, evaluation, and deployment
    • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation
    • Build core infrastructure components such as the model registry, feature store and experiment tracking tooling.
    • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
    • Implement the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments

Collaboration

    • Work closely with the Staff ML Infra Engineer and cross-functional stakeholders (AI researchers and robotics engineers) to understand requirements and translate them into scalable solutions/systems.
    • Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines.

Engineering Excellence, Growth and Impact:

    • Apply MLOps best practices: reproducibility, lineage, rollback, monitoring and governance.
    • Mentor junior engineers and influence the broader cloud platform organization's roadmap.
    • Contribute to internal discussions on platform architecture, reliability, and scalability alongside the broader ML and data platform team
What We're Aiming For (MLOps Level 2)
  • Version-controlled ML pipelines (data, code, and config)
  • Automated and reproducible model training and evaluation
  • Continuous integration and delivery for ML workflows
  • Centralized experiment tracking and performance visualization
  • Standardized model packaging and deployment to production
  • Monitoring of models post-deployment
Required Qualifications
  • 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments.
  • Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
  • Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Hands-on experience with processing or modeling multimodal data(sensor logs, camera streams, behaviour traces etc).
  • Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others
Bonus Qualifications
  • Experience with robotics, autonomous vehicles, drones or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling a plus.
Why This Role?
  • Build from the start Join at a pivotal moment - help shape the ML platform layer as its being defined, not inherited.
  • High impact: Your work will directly enable faster, safer, and more intelligent robotic behaviors at scale
  • Technical Frontier: You will work directly on enabling the next frontier of AI in real production settings
  • Remote-friendly with a strong engineering culture and a fully distributed team.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$197,000—$307,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.