ZipRecruiter

Log In

1

Machine Learning Petroleum Engineer Jobs in Missouri

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Walmart

(USA) Senior, Machine Learning Engineer

Cassville, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross ...

Walmart

(USA) Senior, Machine Learning Engineer

Anderson, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross ...

Walmart

(USA) Senior, Machine Learning Engineer

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross ...

6AM City, LLC

Senior Machine Learning Scientist

California, MO · On-site

$180 - $260/hr

  • Medical

  • Dental

  • Vision

  • PTO

By combining cutting-edge machine learning with the most biologically relevant datasets ever ... Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML ...

previous page

Showing results 41-60

All JobsMachine Learning Petroleum Engineer JobsMachine Learning Petroleum Engineer Jobs in Missouri

Machine Learning Petroleum Engineer information

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 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.

What are popular job titles related to Machine Learning Petroleum Engineer jobs in Missouri?

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

What job categories do people searching Machine Learning Petroleum Engineer jobs in Missouri look for?

The top searched job categories for Machine Learning Petroleum Engineer jobs in Missouri are:

What cities in Missouri are hiring for Machine Learning Petroleum Engineer jobs?

Cities in Missouri with the most Machine Learning Petroleum Engineer job openings:

Machine Learning Petroleum Engineer jobs near you
Infographic showing various Machine Learning Petroleum Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer (L5) - Content Machine Learning

Netflix, Inc.

California, MO • On-site

$170 - $720/hr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

Job Overview

We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high‑visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models. The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end‑to‑end ownership of our systems – from data collection and processing to running ML systems in production.


Responsibilities

  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.

  • Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights.

  • Build robust data quality systems using best‑in‑the‑class data and ML techniques enabling the team and partners to deliver more business value.

  • Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains.

  • Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG.

  • Collaborate with cross‑functional team members and partners on projects that drive high‑impact outcomes.


Qualifications

  • Passionate about data systems: build reliable and trustworthy web‑scale data products.

  • Highly proficient in at least one of the programming languages (Python, Java, or Scala) with at least 4 years of software/data engineering experience.

  • Comfortable with SQL and using big data technologies (Hive, Presto, Spark, Iceberg, etc.) on medium to large‑scale data.

  • Familiarity with machine learning libraries (TensorFlow, PyTorch, JAX, or Keras).

  • Experience working in machine learning or natural language processing domains.

  • Some experience in implementing and productionizing models in large‑scale industrial settings is a plus.

  • Conceptually familiar or interested in learning graph technologies (databases, data models, query languages, graph machine learning).

  • Strong communication skills and ability to collaborate with cross‑functional team members and partners.

  • Excited about learning new business domains, demonstrating excellence, and growing your career.


Compensation & Benefits

  • Annual salary only, with option to allocate compensation between salary and stock options.

  • Salary range for this role: $170,000 – $720,000.

  • Benefits include Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family‑forming benefits, Life and Serious Injury Benefits, paid leave, and flexible time off.


EEO Statement

We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

#J-18808-Ljbffr

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

View All Netflix Jobs

Apply