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Machine Learning Engineer Associate Jobs in West Newton, PA

Lead Forward Deployed Engineer - AWS

Pittsburgh, PA ยท On-site

$99K - $131K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Senior Forward Deployed Engineer- AWS

Pittsburgh, PA ยท On-site

$101K - $139K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Machine Learning Systems Engineer

Pittsburgh, PA ยท On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ... Machine Learning, or a related field (strong industry track record considered in lieu of advanced ...

Showing results 21-40

Machine Learning Engineer Associate information

See West Newton, PA salary details

$34.9K

$69.4K

$110.9K

How much do machine learning engineer associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer associate in West Newton, PA is $69,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $79,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in West Newton, PA?

The most popular types of Machine Learning Engineer jobs in West Newton, PA are:

What are popular job titles related to Machine Learning Engineer Associate jobs in West Newton, PA?

For Machine Learning Engineer Associate jobs in West Newton, PA, the most frequently searched job titles are:

What cities near West Newton, PA are hiring for Machine Learning Engineer Associate jobs?

Cities near West Newton, PA with the most Machine Learning Engineer Associate job openings:

Senior Machine Learning Engineer - Mission Innovation Lab

Software Engineering Institute

Pittsburgh, PA โ€ข On-site

$101K - $139K/yr

Full-time

Re-posted 27 days ago


Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview
As a Machine Learning Engineer who can take research ideas from concept to prototype, you will lead independent applied-research projects for defense-focused missions.
The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission-scale capabilities.
The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the "recently possible" in AI into reliable mission and warfighting capabilities.
Key Responsibilities
  • Design, implement, and evaluate state-of-the-art ML models (computer-vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.

  • Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.

  • Lead rapid-prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.

  • Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).

  • Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.

Required Qualifications
  • B.S. in Computer Science, Electrical Engineering, Statistics, or related field with โ‰ฅ10 years of experience ; OR M.S. with โ‰ฅ8 years ; OR Ph.D. with โ‰ฅ5 years of relevant experience.

  • Ability to obtain and maintain an active Department of War security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

  • Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.

  • Solid understanding of ML theory, statistical learning, and common algorithms.

  • Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.

  • Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.

Desired Experience
  • Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.

  • Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.

  • Experience working on defense or other high-impact government programs.

  • Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.

Knowledge, Skills, & Abilities
  • Deep technical knowledge of modern ML methods and ability to extend them to novel domains.

  • Excellent written and verbal communication skills; capable of presenting complex ideas to technical and non-technical audiences.

  • Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers.

  • High degree of scientific curiosity and a proactive, self-directed work style.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance