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Machine Learning Engineer Associate Jobs in Marlton, NJ

Machine Learning Engineer Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week 9 + Months Role: Design and validate ML models that support engineering tooling teams. Enhance existing AIML ...

Machine Learning Engineer 3-7881

Philadelphia, PA ยท On-site +1

$115.50K - $138.70K/yr

... both software engineering and machine learning sides of projects by implementing, rening, and validating machine learning algorithms for products and applications; take action on existing ...

AI Solutions Architect

Philadelphia, PA ยท On-site

$63.50 - $83.75/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

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Machine Learning Engineer Associate information

See Marlton, NJ salary details

$42.2K

$84.1K

$134.3K

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

As of Jun 1, 2026, the average yearly pay for machine learning engineer associate in Marlton, NJ is $84,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $96,700.00 per year, depending on experience, location, and employer.

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 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 Machine Learning Engineer Associates?

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 job categories do people searching Machine Learning Engineer Associate jobs in Marlton, NJ look for? The top searched job categories for Machine Learning Engineer Associate jobs in Marlton, NJ are:
What cities near Marlton, NJ are hiring for Machine Learning Engineer Associate jobs? Cities near Marlton, NJ with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer

Guru Schools

Philadelphia, PA โ€ข On-site

Full-time

Posted 8 hours ago


Job description

Overview:
Machine Learning Engineer
Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week
9 + Months
Role:

Design and validate ML models that support engineering tooling teams.
Enhance existing AIML automation tools (e.g., Speech data), implement LLM prompt interactions, and use LLMs to test LLMs - with a strong focus on product quality.
Key Responsibilities:
Build & enhance ML/AI models for validation and automation
Implement prompt-based LLM interactions
Collaborate across tooling squads and cross-functional teams
Contribute to POC development in AI/ML & Computer Vision
Requirements:
4+ years overall experience
1+ year hands-on ML model experience
Strong quality-focused mindset with LLM expertise
NLP, data engineering & model deployment experience
Tech Used:
GPT, LLMs, NLP, internet-developed tools
Interview Process:
2 Rounds
Skills:
Design and validate ML models that support engineering tooling teams. Enhance existing AIML automation tools (e.g., Speech data), implement LLM prompt interactions, and use LLMs to test LLMs