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Entry Level Google Machine Learning Engineer Jobs in New York, NY

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... as a machine learning engineer. Must also possess: 2 years building & deploying ML-based ...

New

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

New York Times

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Job Overview Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for ...

Jane Street

Machine Learning Engineer

New York, NY

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

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 ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their ... Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their ... Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and ...

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

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 ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it - from training models ...

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All JobsGoogle Machine Learning Engineer JobsEntry Level Google Machine Learning Engineer JobsEntry Level Google Machine Learning Engineer Jobs in New York, NY

Entry Level Google Machine Learning Engineer information

See New York, NY salary details

$32.8K

$75.9K

$129.1K

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

As of Aug 14, 2026, the average yearly pay for entry level google machine learning engineer in New York, NY is $75,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $85,900.00 per year, depending on experience, location, and employer.

What is an entry level Google machine learning engineer?

Entry Level Google Machine Learning Engineers are professionals who have recently started their careers in machine learning and work at Google. They typically assist in designing, developing, and deploying machine learning models to solve real-world problems. Their responsibilities may include data preprocessing, feature engineering, model training, evaluation, and collaborating with senior engineers and researchers. These roles often require a strong foundation in programming, mathematics, and statistics, as well as familiarity with machine learning frameworks such as TensorFlow or PyTorch. Entry Level Machine Learning Engineers at Google usually work on supervised projects and are mentored by more experienced team members.

What are the typical projects and responsibilities for an entry level Google machine learning engineer?

As an Entry Level Machine Learning Engineer at Google, you can expect to work on a variety of projects ranging from building and optimizing machine learning models to supporting data preprocessing and feature engineering tasks. You will often collaborate with senior engineers, data scientists, and product teams to implement solutions that address real-world problems at scale. Your daily responsibilities may include coding in Python or TensorFlow, participating in code reviews, and troubleshooting model performance. This role offers hands-on experience with industry-leading tools and the opportunity to learn from experienced colleagues, making it a great foundation for career growth in AI and machine learning.

What is the difference between Entry Level Google Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Google Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, Math, or related; knowledge of ML frameworksBachelor's in CS, Stats, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/JavaData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, especially Google, focusing on AI/ML productsVarious industries including tech, finance, healthcare

Entry Level Google Machine Learning Engineers focus on developing and deploying machine learning models, often requiring coding and understanding of ML frameworks. Entry Level Data Scientists analyze data, build statistical models, and create visualizations. While both roles require similar educational backgrounds, their daily tasks and focus areas differ, with ML Engineers more involved in algorithm implementation and Data Scientists in data analysis and insights.

What are the key skills and qualifications needed to thrive as an entry level Google machine learning engineer, and why are they important?

To thrive as an Entry Level Google Machine Learning Engineer, you need a solid foundation in computer science, statistics, and mathematics, typically with at least a bachelor's degree in a related field. Familiarity with programming languages like Python or Java, experience using TensorFlow or PyTorch, and understanding of cloud platforms such as Google Cloud are essential technical requirements. Strong problem-solving skills, teamwork, and effective communication help you collaborate and convey complex concepts clearly. These skills and qualities are crucial for building scalable machine learning solutions and contributing effectively in a dynamic, innovative environment.

What are the most commonly searched types of Google Machine Learning Engineer jobs in New York, NY?

The most popular types of Google Machine Learning Engineer jobs in New York, NY are:

What are popular job titles related to Entry Level Google Machine Learning Engineer jobs in New York, NY?

For Entry Level Google Machine Learning Engineer jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Google Machine Learning Engineer jobs in New York, NY look for?

The top searched job categories for Entry Level Google Machine Learning Engineer jobs in New York, NY are:

Entry Level Google Machine Learning Engineer jobs near you

Machine Learning Engineer

Sandbar

Manhattan, NY • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

About Sandbar

Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.

Join us in creating technology that extends human thinking.

RESPONSIBILITIES

This role involves developing software and machine learning algorithms for use in human computer interface products. This includes designing system architectures involving large language models for conversational, information retrieval, and digital automation tasks. This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems for latency, reliability, and cost. Telecommuting permitted. 3x/week in office required.

REQUIREMENTS

Requires a bachelor’s degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building & deploying ML-based applications, including data curation and model training; 2 years of experience researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models; 2 years of experience in quantitative analysis based on data science; 2 years of experience in Python programming language; 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products; 1 year of experience with AWS or GCP; 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker; 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products; and prior experience in at least 1 startup-stage company (founding engineer to Series A company). Must be able to successfully complete competency-based interviews

FTE Benefits
  • Health, vision, and dental benefits
  • Company-sponsored 401(k)
  • Unlimited PTO and sick time
  • Early stage equity
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