The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer to shape how they build and scale machine learning systems, focusing on developing and optimizing ML inference systems that process large volumes of media ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer to shape how they build and scale machine learning systems, focusing on developing and optimizing ML inference systems that process large volumes of media ...
Machine Learning Engineer
New York, NY · On-site
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Machine Learning Engineer
New York, NY · On-site
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
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 ...
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 · 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 ...
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 ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/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 ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/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 ...
Machine Learning Engineer
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
New York, NY · 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 ...
Machine Learning Engineer
New York, NY · 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 ...
Machine Learning Engineer
$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 ...
Machine Learning Engineer
$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 ...
Machine Learning Engineer
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
Machine Learning Engineer
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Sr. 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.
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Sr. 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.
Sr. 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.
Sr. 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.
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
Sr. 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.
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
Sr. 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.
Sr. 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.
Sr. 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.
Senior Machine Learning Engineer
$114K - $157K/yr
Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...
Quick apply
Senior Machine Learning Engineer
$114K - $157K/yr
Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...
Senior Machine Learning Engineer
$127K - $168K/yr
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 ...
Senior Machine Learning Engineer
$127K - $168K/yr
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 ...
Lead Machine Learning Engineer
$112K - $147K/yr
Lead Machine Learning Engineer Req ID: 10143264 This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced ...
Lead Machine Learning Engineer
$112K - $147K/yr
Lead Machine Learning Engineer Req ID: 10143264 This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/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 ...
Lead Machine Learning Engineer
New York, NY · On-site
$112K - $147K/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 ...
Graduate Machine Learning Engineer information
See New York salary details
$34.5K - $50.6K
1% of jobs
$50.6K - $66.7K
1% of jobs
$66.7K - $82.8K
5% of jobs
$82.8K - $98.9K
6% of jobs
$112.2K is the 25th percentile. Wages below this are outliers.
$98.9K - $115K
14% of jobs
$115K - $131.1K
14% of jobs
The median wage is $139.2K / yr.
$131.1K - $147.2K
18% of jobs
$147.2K - $163.4K
14% of jobs
$166.7K is the 75th percentile. Wages above this are outliers.
$163.4K - $179.5K
12% of jobs
$179.5K - $195.6K
11% of jobs
$195.6K - $211.7K
5% of jobs
$34.5K
$140.9K
$211.7K
How much do graduate machine learning engineer jobs pay per year?
As of Jul 24, 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?
| Aspect | Graduate Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related field; some internships | Bachelor's or Master's in Statistics, Data Science, or related field; often with experience |
| Work Environment | Developing ML models, coding, testing algorithms | Analyzing data, creating visualizations, deriving insights |
| Employer & Industry Usage | Tech companies, startups, research labs | Finance, 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.
What are popular job titles related to Graduate Machine Learning Engineer jobs in New York? For Graduate Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
- Senior Machine Learning Engineer
- Remote Machine Learning Engineer
- Machine Learning Engineer Intern
- Google Cloud Machine Learning Engineer
- Remote Senior Machine Learning Engineer
- Machine Learning Engineer Biotech
- Manager Remote Machine Learning Engineer
- Full Time Machine Learning Engineer New Grad
- Machine Learning Engineer From Home
- Machine Learning Engineer New Grad
What job categories do people searching Graduate Machine Learning Engineer jobs in New York look for? The top searched job categories for Graduate Machine Learning Engineer jobs in New York are:
- Machine Learning Engineer Hybrid
- Learning Disability
- Learning Engineer
- Senior Meta Machine Learning
- Senior Tesla Machine Learning Engineer
- Flexible Machine Learning
- Junior Machine Learning Compiler Engineer
- Machine Learning Engineer Opt
- Contract Computer Vision Deep Learning Engineer
- Seasonal Medical Imaging Machine Learning
Full-time
Posted 7 days ago
Job description
Job Summary:
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with fast and scalable inference. The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences.
Responsibilities:
• Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into the existing platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills required, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
• Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience working in a startup or fast-paced environment.
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with fast and scalable inference. The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences.
Responsibilities:
• Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into the existing platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills required, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
• Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience working in a startup or fast-paced environment.
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.