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Remote Director Machine Learning Jobs in Irvine, CA

Scanhealthplan

Sr Staff AI Security Engineer

Long Beach, CA · Remote

$172K - $225K/yr

Reporting directly to the Director of Cybersecurity , you will be responsible for the end-to-end ... Azure AI Studio, Azure Machine Learning, Azure Kubernetes Service (AKS). * AI Protocols: Experience ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

Experience working with machine learning and data science teams to define model objectives ... Leadership experience in distributed or remote engineering teams, driving execution across time ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Irvine, CA

Remote Director Machine Learning information

See Irvine, CA salary details

$38.6K

$98.7K

$151.3K

How much do remote director machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote director machine learning in Irvine, CA is $98,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $113,800.00 per year, depending on experience, location, and employer.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are popular job titles related to Remote Director Machine Learning jobs in Irvine, CA?

For Remote Director Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in Irvine, CA look for?

The top searched job categories for Remote Director Machine Learning jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Remote Director Machine Learning jobs?

Cities near Irvine, CA with the most Remote Director Machine Learning job openings:

Remote Director Machine Learning jobs near you

Sr. Engineer II - Software Design

Karma Automotive

Irvine, CA • Remote

$130K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description


Sr. Engineer II - Software Design
The Sr. Engineer II - Software Design is responsible for designing, developing, testing, and managing Karma's connected backend telematics system, Karma Cloud Services (KCS). KCS encompasses the back-office systems powering Karma Connect, including Karma's Vehicle Data Management (VDM) and Over-the-Air (OTA) services platforms, which will redefine the experience of owning a Karma automobile both today and tomorrow.

You'll be responsible for the development and maintenance of the fundamental systems powering all of Karma's connected vehicle platforms. This will include the full application lifecycle, from creating server-side logic, databases, and APIs, to writing and debugging code, along with designing scalable microservices and architectures, to ongoing performance and reliability optimizations and system validation.

As one of Karma's longest-running KCS services, our VDM solution collects fundamental operational and performance data from our connected vehicles. You'll also be working with cross-functional teams to analyze this data to detect vehicle issues and help us make informed product decisions. We're looking for someone who is up to the challenge of leading our big data analysis efforts and researching, exploring, and introducing AI / ML to our systems to transform the way Karma operates.

Responsibilities (include, but are not limited to):

  • Lead software development and manage KCS systems which support over-the-air software updates, remote diagnostics, and telematics functionalities.
  • Write efficient and optimized code in programming languages like Java, Python, SQL, and shell scripts.
  • Design, develop, and monitor secure RESTful APIs hosted on AWS to support mobile and desktop clients.
  • Maintain KCS database systems and assist Aftersales department with customer data retrieval.
  • Collaborate with cross-functional teams to integrate data solutions with existing systems and applications, including SAP, and debug issues.
  • Implement data security and privacy measures to protect sensitive information and comply with regulatory requirements.
  • Lead KCS testing and collaborate with QA team to ensure system functionality, accuracy, reliability, and performance in client-server environment.
  • Design, develop, and implement scalable and efficient data processing pipelines using Big Data technologies such as Hadoop, Spark, or Kafka
  • Build and maintain data warehouses, data lakes, and data marts to store and organize structured and unstructured data.
  • Design and develop data models, schemas, and structures to support business analytics and reporting requirements.
  • Develop and implement machine learning algorithms to enhance AI capabilities.
  • Research and implement AI technologies and frameworks.
  • Recommend solutions and strategies by comparing advantages and disadvantages of alternative implementations.
  • Compile and analyze data and processes to troubleshoot problems and identify areas for improvement.
  • Document technical specifications, deployment procedures, and operational guidelines.
  • Communicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on long-term technology roadmap.
  • Participate in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members.
  • Other duties, as assigned.

Required Qualifications:

  • Bachelor's degree in Computer Science or a related field.
  • 7-10 years of relevant professional experience
  • Proven experience in writing highly secure web applications, web design, core AWS web-enabling technologies, RESTful API design, and database design / management
  • UI/UX, big data analysis, data processing frameworks, backend architectures, machine learning, and some AI experience desired
  • Familiarity with agile development methodologies, version control systems, microservices architecture, DevOps practices, and tools for continuous integration and deployment
  • Strong experience with specific languages, such as Java, Python, SQL, and shell scripts
  • Familiarity with JavaScript, typescript, and web frameworks (Angular or React) are highly desired.
  • Strong understanding of the web development cycle and programming techniques and tools
  • Excellent problem-solving skills and analytical thinking, with the ability to troubleshoot complex issues.
  • Strong communication and collaboration skills, with the ability to work effectively both independently and in cross-functional teams.
  • Excellent project and time management skills.

Physical Requirements:

Note: The physical demands described here are representative of those that must be met by an employee to perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee should have the:

  • Ability to frequently use or operate a computer, mouse, and/or other office productivity machinery, such as a calculator, copy machine, computer printer, etc.
  • Ability to frequently use hand(s) for repetitive actions (grasping and fine manipulation).
  • Ability to frequently walk or move - to regularly move about inside the office.
  • Ability to frequently see or detect, identify, recognize, or assess surroundings while in the office.
  • Ability to occasionally bend, kneel, crouch, turn, and stoop.
  • Ability to frequently sit or be stationary for extended continuous periods of time.
  • Ability to stand for occasional periods of time.
  • Ability to occasionally lift and/or push/pull up to 20 pounds.

Work EnvironmentThe work environment characteristics described here are representative of those an employee encounters while performing their job.


Total Rewards (Benefits, Perks & Compensation)

Benefits & Perks:

In addition to our competitive compensation, you will also be eligible for the following at Karma:

  • Medical Plan choices include HMO, PPO & HDHP (High-Deductible Health Plan)
  • Dental & Vision Plans
  • Health Savings Account & Flexible Spending Account
  • Employee Health & Well-Being Program Events
  • Company Paid Basic Life & AD&D Insurance
  • 401(k) with Employer Match
  • Relocation Assistance (if applicable)
  • Employee Assistance Program (EAP)
  • Sick Time, Vacation time and Personal Floaters
  • Paid Holidays including Company's Annual Year End Shutdown
  • Karma Cares Program (Monthly lunch & breakfast)
  • Work life Balance (Flexible and Hybrid Work Schedule)
  • Employee Driving Program
  • Pre-taxed Commuter Benefits & much more!

Compensation:

$125,000 - 140,000 /annual salary. Compensation will vary DOE.

At Karma, our base pay is one part of our total rewards package.

Compensation offered may vary on multiple factors, including market location, education, skills and experience. The total compensation package for this position may also include other elements dependent on the position being offered.

Karma Automotive, Inc. is an equal employment opportunity (EEO) employer. We do not discriminate on the basis of age, race, gender identity and expression, color, sexual orientation, marital status, pregnancy or related conditions (including breastfeeding), national origin/ancestry, religion, military/veteran status, genetic information, citizenship status, intersectionality or any other characteristic and group protected by applicable law. Karma Automotive, Inc complies with the Americans with Disabilities Act to ensure equal access to all qualified individuals with a physical or mental disability. Valid driver's license may be required based on essential duties.

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