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Machine Learning Engineer Associate Jobs in Newark, NJ

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Machine Learning Engineer At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We're a $1B+ learning platform used by two-thirds of U.S ...

Job Summary : Point72 is a leading investment firm, and they are seeking a Machine Learning Engineer to join their High Frequency Trading Technology team. This role will apply the latest AI ...

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

Machine Learning Engineer

Long Island City, NY · Hybrid

$90.90K - $254.10K/yr

Machine Learning Engineer Long Island City, New York About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead ...

We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and ...

Machine Learning Engineer Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We're growing rapidly and are looking for ...

Machine Learning Engineer New York Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building ...

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems by designing, deploying, and scaling AI ...

Machine Learning Engineer Hybrid role based in New York City. Some travel may be required. RunSybil is an AI security startup scaling offensive security services by automating hacker intuition. We're ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...

Machine Learning Engineer

Manhattan, NY · Hybrid

$170K - $230K/yr

Machine Learning Engineer Help us solve fraud asap with Casap -- where we're building the world's first AI-native disputes automation and fraud prevention platform. Our mission is to create a future ...

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Showing results 1-20

Machine Learning Engineer Associate information

See Newark, NJ salary details

$43.4K

$86.4K

$138K

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 Newark, NJ is $86,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $99,300.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Newark, NJ? The most popular types of Machine Learning Engineer jobs in Newark, NJ are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Newark, NJ? For Machine Learning Engineer Associate jobs in Newark, NJ, the most frequently searched job titles are:
What cities near Newark, NJ are hiring for Machine Learning Engineer Associate jobs? Cities near Newark, NJ with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Posted 22 days ago


Job description

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it's a DIY artist or an industry-facing partner.
As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You'll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You'll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.
What You'll Do
  • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify's promotional performance with hands-on ML development
  • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.

Who You Are
  • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  • You have experience in optimizing machine learning models for production use cases
  • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  • You have some exposure to causal ML models, including things like counterfactuals.
  • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice