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Entry Level Machine Learning Engineer Jobs in New Brunswick, NJ

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site

$134K - $176K/yr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... Engineer agentic systems. Develop planning, retrieval, tool-use, and orchestration components for ...

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site

$145K - $209K/yr

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in New Brunswick, NJ

Entry Level Machine Learning Engineer information

See New Brunswick, NJ salary details

$31K

$71.6K

$121.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level machine learning engineer in New Brunswick, NJ is $71,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $81,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in New Brunswick, NJ? The most popular types of Machine Learning Engineer jobs in New Brunswick, NJ are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in New Brunswick, NJ? For Entry Level Machine Learning Engineer jobs in New Brunswick, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in New Brunswick, NJ look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in New Brunswick, NJ are:
What cities near New Brunswick, NJ are hiring for Entry Level Machine Learning Engineer jobs? Cities near New Brunswick, NJ with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in New Brunswick, NJ as of August 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $71,578 per year, or $34.4 per hour.

Staff Machine Learning Engineer - Content Intelligence

Spotify

New York, NY • On-site

Other

Medical, Retirement, PTO

Re-posted 8 days ago

Job description

We design Spotify's consumer experience - end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow-driven by advances in AI and new creation tools-we're building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We're seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you'll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images-enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.
What You Will Do
  • Build and scale machine learning systems that generate deep understanding of content across modalities
  • Develop models for classification, tagging, semantic understanding, and content enrichment
  • Create high quality content enrichment at scale using LLMs and agentic systems.
  • Design systems that make content intelligence signals available to downstream teams and products
  • Improve automation for content quality, safety, and metadata enrichment at scale
  • Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
  • Contribute to evaluation frameworks, data pipelines, and annotation systems
  • Support rapid experimentation to prototype and launch new types of content signals
  • Help improve system reliability, scalability, and performance across large datasets

Who You Are
  • You have experience building and deploying machine learning systems in production
  • You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
  • You have experience working with large datasets and care about data quality and evaluation
  • You are interested in or have worked with multimodal machine learning
  • You understand how to design systems that balance automation with quality and user experience
  • You are comfortable working on complex problems with evolving requirements
  • You think in systems and understand how models connect to product outcomes
  • You communicate clearly and work well across technical and non-technical teams

Where You Will Be
  • This role is based in New York, NY
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is 227,495-324,993 USD, 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, and paid sick leave. These ranges may be modified in the future.
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

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