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Machine Learning Engineer New Grad Jobs in Buffalo, NY

Pragmatike

Principal AI/ML Engineer

Boston, NY · On-site

Design, build, train, and optimize machine learning and deep learning models for production use ... Mentor junior engineers and support team-level technical excellence What We're Looking For

Smiths Machine

Machine Operator

Orchard Park, NY

$22 - $26/hr

In Person, Orchard Park, New York 14127 Reliably commute or planning to relocate before starting ... Learn and use conversational CNC programing. Qualifications: Good analytical ability. Problem ...

ARUNDEL MACHINE

Machine Operator

Orchard Park, NY

$26/hr

In Person, Orchard Park, New York 14127 Reliably commute or planning to relocate before starting ... Learn and use conversational CNC programing. Qualifications: Good analytical ability. Problem ...

Jobsultant Solutions

Data Analyst

Buffalo, NY

... Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like ...

New

Pwc

US Tech - AI Engineering Manager

Buffalo, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Layer Health

EHR Integration Engineer

Boston, NY

$140K - $160K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're seeking an experienced EHR Integration Engineer specializing in integrating with common EHRs.

Layer Health

Solutions Engineer

Boston, NY

$180K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise ...

PathAI

Associate Director, MLOps Engineering

Boston, NY · On-site +1

Partner with leaders across machine learning, data science, product engineering, and infrastructure to proactively identify pain points, address bottlenecks, and facilitate the deployment of new ...

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY

$91K - $101K/yr

One M&T Plaza, Buffalo, NY 14203. Ensure the accuracy, reliability, and compliance of models in ... machine learning, model evaluation and selection, feature engineering, time series analysis, loss ...

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

One M&T Plaza, Buffalo, NY 14203. Ensure the accuracy, reliability, and compliance of models in ... machine learning, model evaluation and selection, feature engineering, time series analysis, loss ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Buffalo, NY

Machine Learning Engineer New Grad information

See Buffalo, NY salary details

$30.5K

$124.7K

$187.4K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning engineer new grad in Buffalo, NY is $124,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Buffalo, NY? For Machine Learning Engineer New Grad jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Buffalo, NY look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Machine Learning Engineer New Grad jobs? Cities near Buffalo, NY with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you

Principal AI/ML Engineer

Pragmatike

Boston, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Relocation package: Available
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are looking for a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.
This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.
What You'll Do
  • Design, build, train, and optimize machine learning and deep learning models for production use
  • Lead the deployment of ML models into scalable, reliable production systems
  • Architect training, inference, and evaluation pipelines for structured and unstructured data
  • Own model performance, reliability, scalability, and lifecycle management
  • Drive experimentation, model iteration, and performance benchmarking
  • Implement and maintain high-quality ML codebases primarily in Python
  • Monitor, debug, and improve live production models
  • Collaborate with platform, backend, and infrastructure teams on system integration
  • Contribute to technical direction, architecture decisions, and AI roadmap planning
  • Mentor junior engineers and support team-level technical excellence
What We're Looking For
  • Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field
  • 7+ years of professional experience in AI/ML, data science, or applied machine learning roles
  • Proven experience deploying ML systems into production environments
  • Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management
  • Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Strong proficiency in Python
  • Experience designing scalable ML systems and pipelines
  • Ability to operate independently and take technical ownership of complex systems
  • Strong problem-solving, architecture, and system-design skills
Bonus Points
  • Experience with deep learning, LLMs, GenAI, or modern AI architectures
  • Experience building AI systems used by enterprise or large-scale customers
  • Strong experience with cloud platforms (AWS, GCP, Azure)
  • MLOps experience (CI/CD for ML, model deployment, monitoring, observability)
  • Research background, publications, or applied AI innovation projects
  • Experience leading AI initiatives or mentoring ML engineers
Why This Role Is High-Impact
  • Work directly with MIT CSAIL-founded leadership
  • Build AI systems deployed to Fortune 500 customers
  • Operate at the intersection of cutting-edge AI and real-world production systems
  • High ownership and influence over technical direction
  • Join a well-funded, fast-growing AI startup with strong technical ambition
  • Clear path toward Staff/Principal AI Engineer or AI Architect roles
Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401(k)

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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