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Machine Learning Engineer Associate Jobs in Vandergrift, PA

Cmu

AI Security Software Engineer

Pittsburgh, PA · On-site +1

Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...

Pwc

AI Engineer

Pittsburgh, PA

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Duolingo

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

Deloitte

Senior AI Engineer - SFL Scientific

Pittsburgh, PA · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Skild AI

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ...

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Machine Learning Engineer Associate information

See Vandergrift, PA salary details

$38.3K

$76.2K

$121.8K

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 Vandergrift, PA is $76,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $87,600.00 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 Vandergrift, PA?

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

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

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

Machine Learning Engineer Associate jobs near you

Senior AI Security Software Engineer

Software Engineering Institute

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

Retirement

Re-posted 6 days ago

Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission.
Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more.
Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come.
Key Responsibilities
  • Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
  • Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
  • Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
  • Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
  • Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team

Minimum Qualifications
  • BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
  • Understanding of software engineering principles and system design
  • Experience with containerization and microservices architectures
  • Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

Preferred Qualifications
  • Experience applying statistical modeling and advanced data analytics techniques
  • Background in developing AI/ML solutions in real-world settings
  • Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
  • Experience and knowledge in cybersecurity best practices
  • Demonstrated ability to quickly learn and adapt to new technologies and domains

Why Join Us
  • Contribute to a world-class organization with significant impact on software and national security
  • Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
  • 8% employer retirement contribution (no employee contribution required)
  • Tuition benefits for employees and their dependent children
  • Flexible work arrangements and strong work-life balance
  • Paid parental and military leave
  • Professional development opportunities, including conference attendance and certifications
  • Qualify for relocation assistance and so much more.

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

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