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Remote Deep Learning Jobs in Missouri (NOW HIRING)

Third-Party Job Posts

... processing, machine-learning workflows, and production infrastructure. We value pragmatic ... remote, globally distributed organization Bonus Skills to Stand Out: * Deep hands-on expertise in

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink ...

Jobgether

The position offers a remote, flexible environment with opportunities for continuous learning ... Deep hands-on expertise with the Creatio platform, including architecture, configuration, low-code ...

Jobgether

Deep understanding of macOS and Linux environments. * Experience implementing identity lifecycle ... Supportive remote-first culture focused on autonomy, continuous learning, and professional growth.

Jobgether

$48.50 - $64/hr

This is a remote-friendly, international role offering significant ownership, with approximately 15 ... Develop deep expertise in the platform and guide customers through training, adoption ...

Jobgether

$101K - $101K/yr

Own day-to-day IT operations for a globally distributed, remote-first organization, covering ... The opportunity to shape IT strategy and operations within a growing deep-tech scale-up. * Exposure ...

Weir Group

Area Sales Manager

Saint Louis, MO · Remote

Area Sales Manager Location - NE, KS, or Western MO (Remote) Work Arrangement - Remote with 75 ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Weir

Area Sales Manager

Saint Louis, MO · Remote

Area Sales Manager Location - NE, KS, or Western MO (Remote) Work Arrangement - Remote with 75 ... We do this by combining our deep customer insights, world-class engineering, materials science ...

EquipmentShare

Senior Software Engineer

Columbia, MO · Remote

$116K - $153K/yr

Exert your passion and use deep and wide thinking to shape the technical direction of the platform ... remote teams (across different time zones). * Proven track record in learning new technologies and ...

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How much do remote deep learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote deep learning in Missouri is $53.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $65.72 per hour, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

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

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

What are popular job titles related to Remote Deep Learning jobs in Missouri?

For Remote Deep Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning jobs in Missouri look for?

The top searched job categories for Remote Deep Learning jobs in Missouri are:

What cities in Missouri are hiring for Remote Deep Learning jobs?

Cities in Missouri with the most Remote Deep Learning job openings:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $110,433 per year, or $53.1 per hour.

Staff Software Engineer

Third-Party Job Posts

Remote

Full-time

Posted 13 days ago

Job description

Location: Remote (Europe)

How You'll Make an Impact:

As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform.

Our Revenue Intelligence Team:

The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them.

What You Bring to the Team:

  • Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans
  • Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows
  • Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems
  • Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability
  • Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction
  • Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work
  • Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge

What Sets You Up for Success:

  • 10+ years of software engineering experience, including significant technical leadership across complex production systems
  • Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language
  • Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries
  • Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing
  • Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products
  • Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations
  • A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution
  • A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards
  • Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business
  • Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization

Bonus Skills to Stand Out:

  • Deep hands-on expertise in .NET/C#

Apply