2

Remote Senior Machine Learning Engineer Jobs in Buffalo, NY

Data Science Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Sr. Design Engineer

Depew, NY · On-site +1

$107K - $115K/yr

Chart Industries is looking for a SR Design Engineer for our office in Buffalo, NY - Aftermaket ... We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do?

Sr. Design Engineer

Buffalo, NY · On-site +1

$107K - $115K/yr

Chart Industries is looking for a SR Design Engineer for our office in Buffalo, NY - Aftermaket ... We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do?

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... Lead as the connective tissue between Engineering, Data Science, ML teams, and Commercial ...

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... Lead as the connective tissue between Engineering, Data Science, ML teams, and Commercial ...

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... Lead as the connective tissue between Engineering, Data Science, ML teams, and Commercial ...

Python Tutor

Buffalo, NY · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

BCBA - Remote in NY

Buffalo, NY · On-site +1

$80K - $100K/yr

At Autism Learning Partners, we're all about growing together, learning from each other, and ... Clear promotion framework from BCBA, Sr. BCBA, Assistant Clinical Director, Clinical Director, and ...

Senior Manager, Engineering

Tonawanda, NY · On-site +1

$132K - $198K/yr

Senior Manager, Engineering About Us: TreeHouse Foods is a leading manufacturer of private label ... We embrace change, prioritize continuous learning, and foster collaboration, transparency, and ...

Linear Algebra Tutor

Buffalo, NY · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Showing results 21-40

Remote Senior Machine Learning Engineer information

See Buffalo, NY salary details

$73.1K

$138.8K

$186K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote senior machine learning engineer in Buffalo, NY is $138,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $156,400.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Buffalo, NY? For Remote Senior Machine Learning Engineer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Buffalo, NY look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Buffalo, NY with the most Remote Senior Machine Learning Engineer job openings:
Infographic showing various Remote Senior Machine Learning Engineer job openings in Buffalo, NY as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,801 per year, or $66.7 per hour.

Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 422 frontline employees who took The Breakroom Quiz

196th of 537 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Description
Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities. The Scientist III will help define and deliver a practical bioprocess digital twin roadmap, including data strategy, model development, validation, deployment, and cross-functional adoption. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer.

Responsibilities

  • Lead development of digital twin models for CHO cell culture and upstream bioprocess workflows, including fed-batch and perfusion applications.
  • Build predictive simulation capabilities for nutrient depletion, metabolite accumulation, cell growth, productivity, process drift, CQAs, and scale-up behavior.
  • Develop hybrid modeling workflows that combine mechanistic approaches such as stoichiometric modeling, kinetic modeling, MFA/FBA, and mass balance methods with AI, machine learning, and Bayesian optimization.
  • Enable virtual experimentation by simulating candidate feed strategies, pH strategies, temperature shifts, and other process conditions to prioritize the most promising experimental paths.
  • Define data requirements, validation strategies, model governance practices, and success criteria for predictive and simulation-based workflows.
  • Support real-time or near-real-time forecasting use cases by incorporating bioreactor and process data to detect deviations early and recommend corrective actions.

Education

  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field.
  • PhD in a relevant discipline is preferred.

Qualifications & Experience

  • Strong industry or advanced academic experience in bioprocess development, cell culture, process modeling, digital biomanufacturing, computational biology, or related scientific domains.
  • Deep understanding of upstream bioprocessing, including CHO cell culture, metabolism, feeding strategies, bioreactor operations, CPP/CQA relationships, and scale-up considerations.
  • Advanced Python experience for scientific computing, simulation, data analysis, workflow automation, and visualization.
  • Experience developing mechanistic, statistical, machine learning, optimization, forecasting, or hybrid modeling workflows for biological or process systems.
  • Experience working with complex bioprocess datasets, including time-series process data, offline assays, spent media or omics data, process metadata, and experimental design data.
  • Demonstrated ability to lead cross-functional technical projects and translate scientific challenges into deployable digital solutions.

Preferred

  • Experience with PAT systems, bioreactor data platforms, LIMS/ELN/MES/historian systems, cloud data environments, or model deployment and governance practices is a plus.

Join Us

At Thermo Fisher Scientific, each one of our extraordinary minds has a unique story to tell. Join us and contribute to our singular mission--enabling our customers to make the world healthier, cleaner, and safer.

Compensation and Benefits

The salary range estimated for this position based in New York is $87,200.00–$116,200.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards


What Thermo Fisher Scientific employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom