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Remote Google Machine Learning Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

Working in a remote-first engineering environment, you will have the opportunity to shape an emerging AI product from an early stage while solving challenging backend and machine learning problems.

Jobgether

... remote environment. * At least 4 years of experience recruiting technical professionals within AI, machine learning, software engineering, cloud, data, DevOps, or technology consulting. * Proven ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

Kohl's

... programming language (R, Python etc.) * Ability to write functions and end-to-end programs * Experience with Data Mining and Machine Learning methodologies * Experience with Google BigQuery Essential ...

Jobgether

In this role, you'll explore novel approaches to machine learning, bridging cutting-edge ... You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize ...

Jobgether

$76K - $96K/yr

Strong programming skills in Python and experience with machine learning frameworks such as PyTorch ... Ability to collaborate effectively in a remote, international environment while demonstrating ...

Jobgether

Working in a remote-first and highly collaborative environment, you will partner with engineering ... Knowledge of machine learning infrastructure, scientific data platforms, regulated industries, or ...

Jobgether

$48.50 - $64/hr

... engineering or machine learning architecture, with at least 5 years focused on enterprise AI ... Fully remote contract opportunity with required overlap with US time zones. * Initial 6-month ...

Jobgether

Interest in artificial intelligence, machine learning workflows, developer tools, or data-intensive applications is considered a strong advantage. Benefits * Fully remote work with flexible working ...

Jobgether

Experience building interfaces for AI or machine learning systems is a plus. * Familiarity with ... Fully remote work environment with flexibility to work from anywhere. * High level of autonomy and ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

This position is fully remote, requiring a reliable internet connection in a private setting ... Familiarity with machine learning workflows and model deployment pipelines. * Power BI management ...

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Remote Google Machine Learning Engineer information

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Missouri? The most popular types of Google Machine Learning Engineer jobs in Missouri are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Missouri? For Remote Google Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
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What cities in Missouri are hiring for Remote Google Machine Learning Engineer jobs? Cities in Missouri with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you

Senior Software Engineer, Agents

Jobgether

Remote

$94K - $124K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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 Senior Software Engineer, Agents based in Netherlands.

As a Senior Software Engineer specializing in AI agents, you will help build the next generation of intelligent developer tools designed to simplify complex technical workflows and deliver actionable insights. You will create the foundational infrastructure behind AI-powered assistants, including orchestration systems, tool execution frameworks, context management, evaluation pipelines, and reliability layers. Working in a remote-first engineering environment, you will have the opportunity to shape an emerging AI product from an early stage while solving challenging backend and machine learning problems. This role is ideal for an engineer who enjoys ambiguity, takes ownership, and wants to build systems that can scale to support thousands of users and complex real-world interactions.

Accountabilities
  • Design and build the core infrastructure powering AI agent capabilities, including orchestration, tool execution, context management, evaluation systems, and trust frameworks.
  • Develop reliable, secure, and observable backend systems that enable AI assistants to interact with data, applications, and developer workflows.
  • Create and improve agent-based features that help users analyze information, understand performance, troubleshoot issues, and make better decisions.
  • Build systems around large language models, including tool usage, structured outputs, context handling, evaluation processes, and agent workflows.
  • Collaborate with engineering teams to define architecture, identify technical challenges, and establish scalable solutions for an evolving AI platform.
  • Improve system reliability, performance, and usability by identifying gaps, investigating issues, and implementing meaningful improvements.
  • Contribute to technical discussions, code reviews, architecture decisions, and engineering best practices.
  • Take ownership of projects from concept to delivery while working independently in a fast-moving product environment.
  • Support knowledge sharing and mentor other engineers as the team and platform continue to grow.
Requirements
  • 5+ years of experience building and shipping production software systems.
  • Hands-on experience developing applications with large language models, beyond basic prompting, including agent workflows, tool integration, structured outputs, context management, orchestration, or evaluation.
  • Strong backend engineering fundamentals with experience designing reliable, scalable, secure, and observable systems.
  • Ability to work effectively in ambiguous environments where architecture and product direction are continuously evolving.
  • Self-driven approach with the ability to identify opportunities, define solutions, and deliver projects independently.
  • Strong communication and collaboration skills, especially within remote and distributed engineering teams.
  • Experience with AI platforms and tools such as OpenAI or Anthropic APIs is a plus.
  • Previous experience building AI agents, conversational interfaces, Slack integrations, or developer-focused tools is advantageous.
  • Familiarity with evaluation and observability frameworks such as Langfuse or LangChain is a plus.
  • Knowledge of subscription business models, mobile applications, app stores, or developer platforms is beneficial.
  • Contributions to open-source AI or machine learning projects are considered an advantage.
Benefits
  • Fully remote and flexible working environment.
  • Competitive compensation package with equity opportunities.
  • Long-term equity support with an extended exercise window for vested options.
  • 4-5 weeks of recommended annual time off to support mental, physical, and emotional well-being.
  • Workspace setup budget to help create an effective remote working environment.
  • Annual learning and development budget to support continuous growth.
  • Opportunity to work on cutting-edge AI technology with significant product impact.
  • Collaborative international engineering culture with experienced technical teams.
  • Opportunity to shape AI-native products and influence the future of intelligent developer tools.
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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