2

Manager Remote Machine Learning Engineer Jobs in California

The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ...

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Lead Machine Learning Engineer

San Francisco, CA ยท On-site +1

$120.80K - $159.10K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Machine Learning Engineer

Carlsbad, CA ยท On-site +1

$101.10K - $138.50K/yr

Collaborate with Technical Product Managers, API engineers, and platform teams to deploy models in ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Machine Learning Engineer

Carlsbad, CA ยท On-site +1

$101.10K - $138.50K/yr

Collaborate with Technical Product Managers, API engineers, and platform teams to deploy models in ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Location and travel We have a lovely office in Oakland, CA, but we also have remote employees ...

Senior Machine Learning Engineer

San Francisco, CA ยท On-site +1

$186.10K - $300.55K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Machine Learning Engineer

Brisbane, CA ยท On-site +1

$147.40K - $194.30K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Experience managing large datasets, including data storage (such as HDFS or Parquet on S3 ...

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... product managers, UI/UX designers, and ML/data science partners to deliver robust, reliable ...

next page

Showing results 1-20

Manager Remote Machine Learning Engineer information

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in California? The most popular types of Remote Machine Learning Engineer jobs in California are:
What job categories do people searching Manager Remote Machine Learning Engineer jobs in California look for? The top searched job categories for Manager Remote Machine Learning Engineer jobs in California are:
What cities in California are hiring for Manager Remote Machine Learning Engineer jobs? Cities in California with the most Manager Remote Machine Learning Engineer job openings:

Machine Learning Engineer

Your Personal AI

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 7 days ago


Job description

We are looking for a highly skilled and innovative Machine Learning Engineer to join our dynamic team at Your Personal AI. In this role, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive the core of our AI-driven solutions. You will collaborate closely with cross-functional teams to identify challenges, create scalable algorithms, and implement machine learning systems that solve real-world problems.
Machine Learning Engineer at Your Personal AI
We are looking for a talented Machine Learning Engineer to join our AI Research and Development department at Your Personal AI. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to enhance our AI technologies.
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI systems.
  • Develop and implement machine learning algorithms
  • Analyze and interpret complex data sets
  • Collaborate with cross-functional teams
  • Design and deploy machine learning models
  • Continuously improve AI systems

If you are passionate about AI and have a strong background in machine learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team driving innovation in artificial intelligence.
Job Requirements for Machine Learning Engineer at Your Personal AI
Please ensure that the job requirements for the Machine Learning Engineer role at Your Personal AI in the AI Research and Development department include the following:
  • Strong proficiency in machine learning algorithms and techniques
  • Experience with programming languages such as Python, R, or Java
  • Ability to work with large datasets and perform data analysis
  • Knowledge of deep learning frameworks like TensorFlow or PyTorch
  • Experience in developing and deploying machine learning models
  • Strong problem-solving skills and analytical thinking
  • Excellent communication and teamwork abilities