ZipRecruiter

Log In

1

Machine Learning Assistant Jobs (NOW HIRING)

Spotify

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 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Spotify

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 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI ...

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · Remote

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Aquabyte

Machine Learning Engineer

Mundelein, IL

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

ISEE

Machine Learning Engineer

ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

Essential Responsibilities: * Assist in the development and optimization of machine learning models. * Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Assistant Jobs

Machine Learning Assistant information

See salary details

$13

$18

$23

How much do machine learning assistant jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning assistant in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
More about Machine Learning Assistant jobs
What cities are hiring for Machine Learning Assistant jobs? Cities with the most Machine Learning Assistant job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Machine Learning Assistant jobs? States with the most job openings for Machine Learning Assistant jobs include:
What job categories do people searching Machine Learning Assistant jobs look for? The top searched job categories for Machine Learning Assistant jobs are:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $37,550 per year, or $18.1 per hour.

Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Posted 20 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

Apply