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Sr Machine Learning Engineer Jobs in Burlington, NJ

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

New

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to develop AI-based features and ensure the deployment of secure, reliable, and scalable machine learning ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Showing results 1-20

Sr Machine Learning Engineer information

See Burlington, NJ salary details

$58.2K

$123.8K

$179.4K

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

As of Sep 5, 2026, the average yearly pay for sr machine learning engineer in Burlington, NJ is $123,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What job categories do people searching Sr Machine Learning Engineer jobs in Burlington, NJ look for?

The top searched job categories for Sr Machine Learning Engineer jobs in Burlington, NJ are:

What cities near Burlington, NJ are hiring for Sr Machine Learning Engineer jobs?

Cities near Burlington, NJ with the most Sr Machine Learning Engineer job openings:

Infographic showing various Sr Machine Learning Engineer job openings in Burlington, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,756 per year, or $59.5 per hour.

Senior Machine Learning Engineer

asrcfh

Moorestown, NJ • On-site

$103K - $141K/yr

Full-time

Posted 3 days ago

New


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

243rd of 453 rated engineering


Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ.

Responsibilities:

  • Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspect
  • Develops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithms
  •  Develops assessment methods to ensure production models are robust and reliable
  • Collaborates with different business units and stakeholders
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
  • Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
  • Implementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
  • Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
  • Training deep neural networks including MLPs, CNNs, Transformers, and others as required
  • Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models

Basic Qualifications:

  • Bachelor's degree and a minimum of 5-7 years of experience in a related or applicable field, or an equivalent combination of education and experience
  • This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
  • This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
  • Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience
  • Has practical knowledge of project management
  • Works to achieve operational targets with significant impact on departmental results
  • Requires being responsible for managing entire technical projects within job area
  • Requires being responsible for developing technical solutions that may require collaboration with internal expertise and deep analysis of the technical system
  • Requires efficient communication with parties within and outside of own job function
  • Requires being responsible for communicating with parties external to ASRC Federal (e.g., customers, vendors, etc)  
  • Requires the ability to write and implement company policies pertaining to relevant technology
  • Responsible for running small technical teams while providing guidance, coaching and training to employees within job area
  • Lead projects, requiring the delegation of work and the review of others' work product
  • Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or TensorFlow)
  • Experience with LLM prompting and Transformer architecture

 

Preferred Qualifications:

  • Hands-on experience with PyTorch and related Python libraries
  • Experience with unsupervised learning including clustering algorithms and manifold learning
  • Strong writing and presentation skills are preferred

What ASRC Federal employees say

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