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Flexible Machine Learning Jobs in Missouri (NOW HIRING)

... machine learning models that enhance our user experience, optimize our workflows, and keep our ... We believe in creating flexible models that can be applied to a variety of use cases, and in ...

$80K - $110K/yr

Career growth and continuous learning opportunities. * Flexible working environment with a high degree of ownership. * Opportunity to work on impactful, large-scale AI and machine learning projects.

The ideal candidate will combine strong machine learning expertise, data engineering skills, and ... Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to ...

The ideal candidate will combine strong machine learning expertise, data engineering skills, and ... Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to ...

The ideal candidate will combine strong machine learning expertise, data engineering skills, and ... Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to ...

... flexible work options that promote balance. With tuition reimbursement, wellness perks, and a ... Strong understanding of statistical modeling, machine learning techniques, and risk assessment ...

... flexible work options that promote balance. With tuition reimbursement, wellness perks, and a ... Strong understanding of statistical modeling, machine learning techniques, and risk assessment ...

The ideal candidate will combine strong machine learning expertise, data engineering skills, and ... Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to ...

No laptop, smartphone, wearable device, voice controlled gadget, flexible screen, VR device or ... Develop machine learning, deep learning, and physics-informed models to improve measurement ...

This role focuses on building the data and machine learning foundations that power personalized ... Unlimited and flexible vacation time. * Paid parental leave. * Opportunity to work on large-scale ...

Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ... arrangement, flexible spending account, paid life insurance + AD&D and short-term disability.

... to AI and machine learning development. * Direct contribution to the training of AI models designed to understand and evaluate visual content quality. * Flexible working structure suited to ...

... Learning and Development Employee Appreciation Events Tuition Reimbursement Comprehensive and ... arrangement, flexible spending account, paid life insurance + AD&D and short-term ...

Showing results 21-40

Flexible Machine Learning information

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What are the most commonly searched types of Machine Learning jobs in Missouri?

The most popular types of Machine Learning jobs in Missouri are:

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

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

What cities in Missouri are hiring for Flexible Machine Learning jobs?

Cities in Missouri with the most Flexible Machine Learning job openings:

Infographic showing various Flexible Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Data Engineer (L5) - Content Machine Learning

Netflix, Inc.

California, MO • On-site

$170 - $720/hr

Other

Medical, Life, Retirement, PTO

Posted 15 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.

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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