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Remote Machine Learning Engineer Jobs in Troy, NY

Database Administrator

Schenectady, NY · On-site +1

$65K - $75K/yr

The ideal candidate is comfortable rolling up their sleeves, learning complex business logic, and ... Collaborate with developers, business analysts, and stakeholders to understand system workflows and ...

Database Administrator

Schenectady, NY · On-site +1

$65K - $75K/yr

The ideal candidate is comfortable rolling up their sleeves, learning complex business logic, and ... Collaborate with developers, business analysts, and stakeholders to understand system workflows and ...

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Remote Machine Learning Engineer information

See Troy, NY salary details

$31K

$126.6K

$190.3K

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

As of Jul 18, 2026, the average yearly pay for remote machine learning engineer in Troy, NY is $126,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $152,400.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

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 job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What job categories do people searching Remote Machine Learning Engineer jobs in Troy, NY look for? The top searched job categories for Remote Machine Learning Engineer jobs in Troy, NY are:
What cities near Troy, NY are hiring for Remote Machine Learning Engineer jobs? Cities near Troy, NY with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Troy, NY as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,632 per year, or $60.9 per hour.
Project Manager, Energy Storage Advisory

Project Manager, Energy Storage Advisory

UL Solutions

Albany, NY • On-site, Remote

$95K - $115K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


UL Solutions rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

23rd of 105 rated laboratories


Job description

As a member of the Energy Storage Advisory team within UL Solutions' North American Renewables business, the Project Manager is responsible for leading the successful delivery of Independent Engineering (IE) and Technical Advisory (TA) projects across the energy storage and solar + storage  hybrid power sectors.

This position oversees all aspects of successful project execution - technical, commercial, financial, and contractual - ensuring UL delivers high-quality, on-time, and on-budget results. The Project Manager is also client-facing, contributing directly to proposal development, relationship management, and growth of the advisory business through trusted client partnerships.

The successful candidate is a self-starter with strong project management fundamentals, technical understanding, and business acumen. They are a proven seller-doer who can guide multidisciplinary teams, engage with clients at a senior level, and drive both delivery excellence and business growth.

This role can be hybrid from Latham, NY, Houston, TX, Northbrook, IL, Oakland, CA, or remote in the United States.

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

We solve our customers' problems. Within Software & Advisory (S&A) services, UL Solutions' Enterprise Sustainability  business focuses on solving some of the most pressing world challenges - renewables, energy transition, sustainability, health & wellbeing, return to work and people safety. We do this through Renewable Energy Advisory and Digital Services, Environmental, Health and Safety Software & Learning programs, best in class Sustainability and ESG reporting software with UL 360, advisory services, subject matter experts and Healthy Buildings testing and verification.
  • Bachelor's degree in engineering, construction management, or a related technical discipline (electrical, mechanical, civil, or similar).
  • Minimum 4 years of experience in project management within a professional or technical services environment, ideally in renewable energy, energy storage, or grid infrastructure.
  • Demonstrated ability to manage multiple concurrent projects and lead multidisciplinary teams.
  • Proven experience in client-facing delivery, including proposal support, contract negotiation, and client relationship management.
  • Strong commercial acumen and familiarity with budgeting, forecasting, and profitability management.
  • Excellent written and verbal communication skills; able to present complex topics clearly to diverse audiences.
  • PMP or equivalent project management training preferred.
  • Ability to occasionally travel for conferences and project deliverables (less than 10%)

Total Rewards:  We understand compensation is an important factor as you consider the next step in your career . The estimated salary range for this position is$95,000 - $115,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of  10% of the base salary.

This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).

The application deadline for this position is 04/30/2026.

What you'll experience working for ULS 

UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. 

That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.  

This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. 

Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. 

Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits. 

Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visitUL.com 

#LI-Hybrid

#LI-Remote

#LI-VP1

  • Lead full-lifecycle delivery of Independent Engineering and Technical Advisory projects for financing, acquisition, and development of energy storage and hybrid renewable portfolios.
  • Serve as the primary client interface, managing communications, expectations, and relationships to ensure satisfaction, repeat business, and cross-selling opportunities.
  • Oversee project execution across scope, schedule, budget, and risk. Develop and maintain execution plans, track progress, and proactively manage variances and change orders.
  • Guide multidisciplinary teams (engineering, financial, and environmental specialists) to ensure technical consistency, quality, and alignment with UL's standards.
  • Provide high-level technical direction to support the team's analysis and conclusions while maintaining focus on overall project objectives and client needs.
  • Manage project financials, including forecasting, invoicing, margin tracking, and ensuring commercial compliance with contract terms.
  • Support business development activities: contribute to proposal writing, pricing strategy, scope definition, and client presentations.
  • Drive client engagement and relationship growth through proactive communication, follow-up, and participation in industry events, conferences, and client reviews.
  • Facilitate project close-out activities including lessons learned, client debriefs, and internal process improvements.
  • Mentor junior staff in project management best practices and promote a culture of accountability and collaboration.
  • Represent UL at conferences and business development meetings.
  • Guide the business strategy and development for the due diligence team.

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