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Graduate Machine Learning Engineer Jobs in New York

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 ...

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 ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Lead Machine Learning Engineer

Manhattan, NY ยท On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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 ...

Machine Learning Engineer

New York, NY ยท On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today ...

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Machine Learning Engineer

Manhattan, NY ยท Hybrid

$126K - $151K/yr

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent Full Time About the Role: In this role, you will take the lead in developing and fine-tuning ...

Machine Learning Engineer Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio ...

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Machine Learning Engineer

Manhattan, NY ยท Hybrid

$115K - $158K/yr

Senior Machine Learning Engineer Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope ...

Machine Learning Engineer Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by?a collaborative ...

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Graduate Machine Learning Engineer information

See New York salary details

$34.5K

$140.9K

$211.7K

How much do graduate machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for graduate machine learning engineer in New York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.

What does a Graduate Machine Learning Engineer do?

A Graduate Machine Learning Engineer is an entry-level professional who designs, develops, and tests machine learning models and algorithms. They work with data scientists and engineers to preprocess data, train models, and deploy solutions to solve real-world problems. Their responsibilities often include coding in languages like Python, using libraries such as TensorFlow or PyTorch, and staying updated with the latest advancements in machine learning. This role serves as a starting point for a career in AI, providing hands-on experience in building and optimizing intelligent systems.

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

To thrive as a Graduate Machine Learning Engineer, you need a solid foundation in computer science, mathematics (especially statistics and linear algebra), and proficiency in programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and experience with cloud platforms or data management tools are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate and translate complex concepts into practical solutions. These skills and qualities are crucial for developing robust models, integrating them into real-world applications, and contributing effectively to multidisciplinary teams.

What are some common challenges faced by Graduate Machine Learning Engineers during their first year, and how can they overcome them?

Graduate Machine Learning Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, working with large or messy datasets, and learning to collaborate within cross-functional teams. Adapting to production-level code standards and understanding existing codebases can also be demanding. To overcome these hurdles, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and invest time in learning best practices for data preprocessing and model deployment. Embracing continuous learning and open communication will ease the transition into the professional environment.

What is the difference between Graduate Machine Learning Engineer vs Data Scientist?

AspectGraduate Machine Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related field; some internshipsBachelor's or Master's in Statistics, Data Science, or related field; often with experience
Work EnvironmentDeveloping ML models, coding, testing algorithmsAnalyzing data, creating visualizations, deriving insights
Employer & Industry UsageTech companies, startups, research labsFinance, healthcare, tech, consulting firms

While both roles involve working with data and algorithms, Graduate Machine Learning Engineers focus on developing and deploying machine learning models, often requiring coding and technical skills. Data Scientists analyze data to extract insights and inform decisions. The roles overlap in skills but differ in primary responsibilities and focus areas.

Machine Learning Engineer

Machine Learning Engineer

Entravision

Manhattan, NY โ€ข On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
Entravision is a leading global advertising, media and ad-tech solutions company. 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:
โ€ข You will be responsible for developing new features, measuring the performance and improving our pipelines. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
โ€ข You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
โ€ข You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay.
โ€ข Analyze data from different sources and provide actionable insights to business and engineering stakeholders.
Qualifications:
Required:
โ€ข 2+ years of relevant experience in Data science positions
โ€ข Very strong coding ability: Python, Scala, Java
โ€ข Proficiency in building high-performance algorithms in production
โ€ข Proficiency in solving problems
โ€ข Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
โ€ข Experience in data mining and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis models
โ€ข Knowledge of Bitbucket/Git version tools
โ€ข Experience working with SQL and data warehousing
โ€ข Possesses excellent communication skills both verbal and written
โ€ข Able to mentor other team members
โ€ข Fluency in English
Company:
Entravision is a media and advertising technology company. Founded in 1996, the company is headquartered in Burbank, California, US, , with a team of 1001-5000 employees. The company is currently Late Stage.