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Machine Learning Petroleum Engineer Jobs in Worcester, MA

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

Senior Principal, ML/AI

Waltham, MA · On-site

$135K - $186K/yr

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

Senior Principal, ML/AI

Waltham, MA

$135K - $186K/yr

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

... utilizing AI and machine learning to enhance mRNA vaccine research and development ... engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital ...

Machinist II

West Boylston, MA · On-site

$21.63 - $34.13/hr

This role reads and interprets engineering drawings, selects appropriate tooling, and ensures parts ... Our work is critical to the integrity and safety of industrial firms, including petroleum refinery ...

Machinist II

West Boylston, MA · On-site

$21.63 - $34.13/hr

This role reads and interprets engineering drawings, selects appropriate tooling, and ensures parts ... Our work is critical to the integrity and safety of industrial firms, including petroleum refinery ...

This role reads and interprets engineering drawings, selects appropriate tooling, and ensures parts ... Our work is critical to the integrity and safety of industrial firms, including petroleum refinery ...

Showing results 41-60

Machine Learning Petroleum Engineer information

See Worcester, MA salary details

$31.4K

$128.5K

$193.1K

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

As of Aug 21, 2026, the average yearly pay for machine learning petroleum engineer in Worcester, MA is $128,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,700.00 per year, depending on experience, location, and employer.

What is a machine learning petroleum engineer?

A Machine Learning Petroleum Engineer is a specialist who combines expertise in petroleum engineering with machine learning and data science techniques. They use advanced algorithms and data analytics to optimize oil and gas exploration, drilling, production, and reservoir management. Their work helps improve decision-making, reduce operational costs, and increase efficiency by analyzing large datasets from various sources such as sensors, seismic data, and production logs. These professionals often work closely with geoscientists, data engineers, and other stakeholders in the energy sector.

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

To thrive as a Machine Learning Petroleum Engineer, you need a strong background in petroleum engineering, programming (such as Python or R), and applied machine learning, usually supported by a relevant engineering degree. Familiarity with data analysis platforms, machine learning frameworks (like TensorFlow or Scikit-learn), and petroleum industry software (such as Petrel or Eclipse) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for integrating technical insights with business goals. These competencies enable the effective application of data-driven solutions to optimize exploration, production, and operational efficiency in the energy sector.

How does a machine learning petroleum engineer typically collaborate with geoscientists and drilling teams to optimize oil and gas production?

A Machine Learning Petroleum Engineer works closely with geoscientists and drilling teams by integrating data-driven models into exploration and production workflows. They analyze geological, seismic, and operational data to develop predictive algorithms that identify optimal drilling locations, forecast reservoir performance, and improve recovery rates. Regular collaboration involves translating complex data insights into actionable recommendations that guide drilling strategies and inform real-time decisions, ensuring all teams are aligned to maximize efficiency and safety. This multidisciplinary approach fosters continuous learning and innovation across teams.

What is the difference between Machine Learning Petroleum Engineer vs Reservoir Engineer?

AspectMachine Learning Petroleum EngineerReservoir Engineer
Required CredentialsBachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learningBachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation
Work EnvironmentData analysis, modeling, software development in oil & gas companiesReservoir modeling, field development planning in oil & gas operations
Industry UsageApplying machine learning to optimize extraction, predict reservoir behaviorEstimating reservoir properties, managing production strategies

The Machine Learning Petroleum Engineer focuses on integrating data science and machine learning techniques to optimize oil extraction processes, while the Reservoir Engineer specializes in modeling and managing subsurface reservoirs to maximize recovery. Both roles are vital in the oil & gas industry but differ in their core skills and daily tasks.

What are popular job titles related to Machine Learning Petroleum Engineer jobs in Worcester, MA?

For Machine Learning Petroleum Engineer jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Petroleum Engineer jobs in Worcester, MA look for?

The top searched job categories for Machine Learning Petroleum Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Machine Learning Petroleum Engineer jobs?

Cities near Worcester, MA with the most Machine Learning Petroleum Engineer job openings:

Engineering Manager, AI Developer Technology

Nvidia

Westford, MA • Hybrid

Full-time

Re-posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

We are now looking for an AI Developer Technology Engineering Manager:

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.

What you'll be doing:

  • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

  • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

  • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

  • Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

  • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

  • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

  • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

  • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations

  • Excellent written and presentation skills.

  • Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

  • A PhD in a relevant field

  • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

  • Proven experience with recruiting top talent.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993