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Remote Full Stack Machine Learning Engineer Jobs in California

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We are building an AI-driven simulation software stack for engineering and manufacturing across ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health ...

Autodesk

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

This role is designed for someone who enjoys working across the full machine learning lifecycle and ... This role is currently open to remote work. Candidates must be located near one of our hub ...

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ... Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in California? For Remote Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in California with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

RAPID EAGLE INC

Sunnyvale, CA • Remote

$70 - $80/hr

Full-time

Medical, Dental, Retirement

Posted 6 days ago

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance

Machine Learning Engineer
100% Remote
We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies.
Key Responsibilities:
  • Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications.
  • Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions.
  • Develop and maintain scalable APIs and microservices for model serving.
  • Monitor model performance, retrain models, and implement MLOps best practices.
  • Work with large-scale structured and unstructured datasets.
  • Optimize model accuracy, scalability, and reliability in production environments.
  • Implement CI/CD pipelines for ML model deployment and lifecycle management.
Required Skills:
  • 5+ years of experience in Machine Learning Engineering or Data Science.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost.
  • Strong understanding of machine learning algorithms, statistics, and data structures.
  • Experience with SQL, data processing, and feature engineering.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools.
  • Knowledge of REST APIs, microservices architecture, and model deployment.
  • Experience working with distributed computing frameworks such as Spark.

This is a remote position.

Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

Social media

Twitter

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