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Machine Learning Engineer Associate Jobs in Philadelphia, PA

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Engineer Associate information

See Philadelphia, PA salary details

$41.9K

$83.4K

$133.2K

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

As of Jul 12, 2026, the average yearly pay for machine learning engineer associate in Philadelphia, PA is $83,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $95,900.00 per year, depending on experience, location, and employer.

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 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 Philadelphia, PA? The most popular types of Machine Learning Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Philadelphia, PA? For Machine Learning Engineer Associate jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Philadelphia, PA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Machine Learning Engineer Associate jobs? Cities near Philadelphia, PA with the most Machine Learning Engineer Associate job openings:
Infographic showing various Machine Learning Engineer Associate job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 60% Full Time, 37% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $83,387 per year, or $40.1 per hour.
Machine Learning Engineer[C2C/W2 ROLE]

Machine Learning Engineer[C2C/W2 ROLE]

SmartIPlace

Philadelphia, PA โ€ข On-site

Contractor

Re-posted 14 days ago


Job description

Job Title: Machine Learning Engineer [w2 role]

Location:ย Philadelphia, PA (Onsite โ€“ 4 days/week at 1800 Arch Street)
Alternate location:ย Reston, VA (for strong candidates)
Duration:ย Contract
Eligibility:ย USC, GC


Job Summary

We are seeking aย hands-on Machine Learning Engineerย with 5+ years of experience who can design, build, and deploy scalable machine learning solutions. This role requires strong coding expertise and real-world experience delivering models into production environments. The ideal candidate is not a manager but an individual contributor who thrives in a fast-paced, engineering-focused environment.


Key Responsibilities

  • Model Development:ย Design, build, train, and fine-tune machine learning and deep learning models for real-world use cases
  • Production Deployment:ย Deploy, monitor, and maintain ML models in production environments
  • Data Pipeline Development:ย Build and optimize scalable data pipelines for ingestion, transformation, and processing
  • Performance Optimization:ย Evaluate models using metrics like accuracy, recall, and AUC; optimize for performance and scalability
  • Collaboration:ย Work closely with cross-functional teams including data engineers, software engineers, and business stakeholders

Required Skills & Qualifications

  • 5+ years of experience as a Machine Learning Engineer or similar role
  • Strongย Python programmingย skills with solid software engineering fundamentals
  • Recent and hands-on experience with PySparkย (mandatory)
  • Experience with machine learning frameworks such asย Scikit-learn
  • Strong understanding ofย statistics, probability, and algorithms
  • Experience working withย SQL, data modeling, and large datasets
  • Proven track record ofย deploying ML models into production environments
  • Experience withย AWS services

Preferred Qualifications

  • Experience withย MLOps toolsย such as Docker for model deployment
  • Hands-on experience withย local Large Language Models (LLMs)
  • Familiarity with distributed computing and big data technologies

Interview Process

Round 1 (30 mins โ€“ Virtual)

  • Experience overview
  • Technical discussion
  • Live coding exerciseย (Video ON + full desktop screen sharing required)

Round 2 (60 mins โ€“ In-Person Preferred)

  • Technical deep dive
  • Advanced live coding exercise

Work Environment

  • 4 days onsite preferred (Philadelphia office)
  • Open to relocation candidates
  • Reston, VA location may be considered if needed

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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