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Remote Deep Learning Jobs in Missouri (NOW HIRING)

Jobgether

If you're passionate about agentic AI, production-grade machine learning, and solving problems that ... Deep understanding of transformer architectures, fine-tuning techniques (including approaches such ...

New

Jobgether

Deep familiarity with Linux systems (Ubuntu or Debian preferred) and strong command of system-level ... Remote-first work environment with distributed global teams. * USD 2,000 annual learning and ...

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The position combines deep technical leadership with strategic execution, requiring close ... Fully remote-first work environment with global flexibility. * Annual learning and development ...

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$87K - $120K/yr

Working in a highly collaborative, customer-facing environment, you will combine deep technical ... Fully remote work opportunity. * Comprehensive health and wellness resources, including employee ...

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$50.25 - $63.75/hr

The role combines deep hands-on engineering with strategic consulting, supporting customers through ... Fully remote-friendly role with flexibility to work from Romania or within supported regions.

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The position combines deep analytical work with product thinking, requiring you to translate raw ... The environment is highly international, remote-first, and fast-moving, with a strong focus on ...

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Working in a remote, globally distributed environment, you will combine market expertise, sourcing ... Deep understanding of EMEA talent markets and the ability to adapt recruiting strategies based on ...

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... a remote-first, international environment that values innovation, continuous learning, and ... a deep understanding of statistical methodologies, and the ability to transform data into ...

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Deep knowledge of data architecture, data warehousing, big data technologies, and cloud ... Benefits: * Remote-first work environment with flexibility to work from anywhere in the world.

Jobgether

... learning capabilities into data platform solutions. * Establish LLMOps and MLOps practices ... You should combine software engineering discipline with deep knowledge of modern AI architectures ...

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$66K - $82K/yr

Conduct deep research and analysis to identify market shifts, technology impacts, and opportunities ... Access to continuous learning, professional development, and career growth opportunities. * The ...

Jobgether

The role combines deep technical expertise, strategic leadership, incident management, and cross ... Fully remote position with flexible working arrangements. * Competitive compensation package with ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Missouri

Remote Deep Learning information

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$23

$53

$80

How much do remote deep learning jobs pay per hour?

As of Jul 13, 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 job?

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 are some 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.

How can I make $100,000 a year working from home?

A remote deep learning professional can reach a $100,000 annual income by gaining advanced skills in machine learning frameworks, building a strong portfolio, and working for companies that offer competitive salaries or freelance projects. Earning this level often requires experience, specialized knowledge, and the ability to deliver high-quality models efficiently. Certifications in deep learning and proficiency with tools like Python, TensorFlow, or PyTorch can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

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.

Which 3 jobs will survive AI?

In the field of remote deep learning, roles such as data scientists, machine learning engineers, and AI research scientists are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation by AI systems. Continuous learning and staying updated with new tools and techniques are essential for long-term career stability in this area.

How to make $1000 a week remotely?

Remote deep learning professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building a strong portfolio, acquiring relevant skills in Python and machine learning frameworks, and obtaining certifications can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

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 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 July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $110,433 per year, or $53.1 per hour.

Head of AI

Jobgether

On-site, Remote

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI based in Netherlands.

Join an ambitious engineering organization building next-generation AI systems that solve complex real-world cybersecurity challenges at scale. This is a rare opportunity for a hands-on technical leader to define AI strategy while remaining deeply involved in research, experimentation, and production development. You'll work alongside experienced engineering leaders to advance cutting-edge LLMs, autonomous agents, and evaluation frameworks that directly influence the company's competitive advantage. The role combines technical innovation, strategic decision-making, and product ownership in a fast-paced, remote-first environment where rapid iteration and measurable impact are valued. If you're passionate about agentic AI, production-grade machine learning, and solving problems that few organizations have tackled successfully, this position offers exceptional ownership and influence.

Accountabilities
  • Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
  • Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows and continuously improving model quality.
  • Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
  • Own fine-tuning pipelines, model selection, routing strategies, context engineering, and inference optimization using production data.
  • Guide technical priorities across a high-performing AI engineering team, evaluating new research, frameworks, and methodologies based on business value and technical feasibility.
  • Lead by example through active software development, architecture decisions, technical mentoring, code reviews, and collaborative problem-solving.
  • Partner closely with engineering leadership, product teams, and customers to align AI capabilities with business needs and real-world security challenges.
  • Continuously improve AI performance, scalability, cost efficiency, and production reliability while establishing long-term technical standards.
Requirements
  • Proven experience leading AI initiatives while remaining deeply involved in hands-on software development and technical execution.
  • Demonstrated success designing, deploying, and maintaining production-grade LLM or agentic AI systems used by real customers.
  • Deep understanding of transformer architectures, fine-tuning techniques (including approaches such as LoRA), inference optimization, and modern generative AI methodologies.
  • Strong experience building evaluation frameworks for autonomous or non-deterministic AI systems, including trajectory analysis, benchmarking, and model assessment.
  • Excellent programming skills with experience developing scalable machine learning systems in production environments.
  • Experience working within fast-paced startup environments, driving projects from concept to deployment with minimal oversight.
  • Strong technical leadership skills, including mentoring engineers, establishing engineering standards, and influencing cross-functional technical decisions.
  • Outstanding analytical thinking, problem-solving abilities, and the capacity to make pragmatic decisions balancing innovation, performance, and operational cost.
  • Excellent written and verbal communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
  • Experience in cybersecurity, vulnerability management, offensive security, or AI-powered security platforms is highly desirable.
  • Experience optimizing model routing, inference costs, RLHF, or AI evaluation pipelines, along with advanced academic research in machine learning, is considered a strong advantage.
Benefits
  • Competitive annual salary ranging from 180,000 to 250,000.
  • Equity package ranging from 0.2% to 0.5%, offering significant long-term ownership potential.
  • Fully remote role with flexibility to work across Europe while based in the United Kingdom.
  • Opportunity to shape the AI strategy of a rapidly growing, venture-backed technology company.
  • Direct influence on product direction as part of the engineering leadership team.
  • Work alongside experienced engineering leaders with backgrounds in globally recognized technology companies.
  • Opportunity to tackle some of the most advanced challenges in generative AI, autonomous agents, and cybersecurity.
  • Strong career growth potential with a pathway toward executive AI leadership as the organization expands.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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