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Remote Machine Learning Engineer Jobs in Buffalo, NY

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:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Solutions Engineer, NA

Boston, NY · On-site +1

$110K - $140K/yr

We understand though that knowledge comes from many forms of learning and experiences. Above all ... Matching 401k * 100% fully remote * Monthly phone & internet reimbursement * Stock options

Statics Tutor

Buffalo, NY · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Senior Platform Engineer

Buffalo, NY · Remote

$100K - $136K/yr

As a Senior Platform Engineer, you will design and support modern integration solutions that ... Must be legally authorized to work in the US without sponorship #LI-Remote Who we are Our business ...

Senior Platform Engineer

Buffalo, NY · Remote

$100K - $136K/yr

As a Senior Platform Engineer, you will design and support modern integration solutions that ... Must be legally authorized to work in the US without sponorship #LI-Remote Who we are Our business ...

Quality Assurance Analyst

Alabama, NY · On-site +1

$55K - $65K/yr

Ability to work effectively with developers, support staff, product stakeholders, and other cross ... Ability to manage priorities, meet deadlines, and work independently in a remote team environment.

Showing results 21-40

Remote Machine Learning Engineer information

See Buffalo, NY salary details

$30.5K

$124.7K

$187.4K

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

As of Aug 8, 2026, the average yearly pay for remote machine learning engineer 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 are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Buffalo, NY? The most popular types of Machine Learning Engineer jobs in Buffalo, NY are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Buffalo, NY? For Remote Machine Learning Engineer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Buffalo, NY look for? The top searched job categories for Remote Machine Learning Engineer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Machine Learning Engineer jobs? Cities near Buffalo, NY with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,734 per year, or $60 per hour.

Scientist II, 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 of data scientists at Thermo Fisher Scientific, where you'll contribute to innovation through advanced analytics and AI solutions. As a Scientist II in Data Sciences, you'll apply technologies to solve complex business challenges across our organization. You'll work on diverse projects ranging from predictive modeling and machine learning to generative AI applications, collaborating with teams to deliver solutions that advance our mission of enabling customers to make the world healthier, cleaner, and safer.
In this role, you'll work with senior scientists, engineers, and software teams to build datasets, models, and workflows that support practical digital twin applications. The successful candidate will bring solid bioprocess knowledge, strong quantitative skills, and the ability to turn scientific questions into clear analyses and useful modeling results. This position offers professional growth opportunities and the chance to work with skilled professionals in a collaborative environment focused on innovation.

Responsibilities

  • Support development of predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twin applications.
  • Build, test, and evaluate models for key upstream process behaviors, including nutrient consumption, metabolite accumulation, cell growth, viability, and productivity.
  • Analyze bioprocess datasets, including time-series bioreactor data, offline assay results, spent media data, and process metadata.
  • Use Python and scientific computing tools to process data, run simulations, visualize results, and support model evaluation.
  • Collaborate with scientists, engineers, and software developers to summarize modeling results, document assumptions, and support experimental planning.

Education

  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field; or Bachelor's Degree plus 2 years of industry experience.

Qualifications & Experience

  • Relevant academic or industry experience in upstream bioprocessing, cell culture, process modeling, computational biology, data science, or related scientific domains.
  • Good understanding of CHO cell culture and upstream bioprocessing concepts, including media, feeding strategies, bioreactor operation, metabolites, cell growth, viability, productivity, and process parameters.
  • Hands-on Python experience for scientific computing, data analysis, visualization, simulation, or model implementation.
  • Experience working with bioprocess or biological datasets, especially time-series data, assay results, spent media data, or process metadata.
  • Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches for biological or process systems.
  • Strong analytical and problem-solving skills, with attention to data quality and scientific detail.
  • Ability to work effectively in cross-functional teams and contribute to project activities under guidance from senior scientists or project leads.

Preferred

  • Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools is a plus.
  • Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation 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 $72,600.00–$95,000.00.

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


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