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Senior Full Stack Machine Learning Engineer Jobs in New York

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 ...

DevAltus

Senior Full Stack Software Engineer

New York, NY · Remote

$150K - $300K/yr

We are looking for an experienced Senior Full Stack Software Engineer to join our dynamic and growing team. In this role, you will play a pivotal part in designing, building, and maintaining scalable ...

Adonis

Senior Full Stack Engineer

Manhattan, NY · On-site

The Senior Full Stack Engineer will play a critical role in the design, architecture, and implementation of scalable software solutions, and will collaborate cross-functionally to deliver impactful ...

MLabs

Senior Full Stack Engineer (Platform)

New York, NY · On-site +1

$144K - $164K/yr

Senior Full Stack Engineer - (Platform) Location :Remote - Preference for NYC - Or Remote USA OR EUROPE to work a 5 hour overlap with EST hours Remote Full-time Compensation: $144K - $164K Our client ...

Cypress HCM

Sr. Full Stack Engineer

New York, NY · On-site

$175K - $200K/yr

Sr. Software Engineer We're looking for a strong full stack engineer to join a collaborative, fast-moving development team focused on building high-quality, user-centric web applications. This is an ...

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Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New York? The most popular types of Full Stack Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities in New York with the most Senior Full Stack Machine Learning Engineer job openings:
Senior Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Forhyre

New York, NY

Full-time

Posted yesterday

Job description

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 systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.


Your ultimate goal will be to shape and build efficient self-learning applications.


Responsibilities


  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field


Requirements


  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus