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Contract Google Machine Learning Engineer Jobs in Ridgewood, NJ

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Spotify

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...

Entravision

Machine Learning Engineer

Manhattan, NY · On-site

As a Machine Learning Senior Engineer, you will be involved in major architectural decisions and developments on algorithms, focusing particularly on deep neural network algorithms. Responsibilities ...

New

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with cloud technologies (Google Cloud, AWS, Modal) * You are a self-starter who drives ...

PermitFlow

Applied Machine Learning Engineer

New York, NY · Remote

$175K - $250K/yr

... Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. Our HQ is in New York City with a hybrid ... Role Overview As an Applied Machine Learning Engineer, you will develop the ML foundation for ...

PermitFlow

Applied Machine Learning Engineer

New York, NY · On-site

$175K - $250K/yr

... Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. Our HQ is in New York City with a hybrid ... Role Overview As an Applied Machine Learning Engineer, you will develop the ML foundation for ...

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How much do contract google machine learning engineer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for contract google machine learning engineer in Ridgewood, NJ is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $51.30 per hour, depending on experience, location, and employer.
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Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$148K - $212K/yr

Other

Medical, Retirement, PTO

Posted 26 days ago

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
What You'll Do
  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
  • Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

Who You Are
  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
  • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Experience with PyTorch, Ray, Hugging Face and related tools is required.
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $148,000 $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

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