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Director Machine Learning Jobs in Pasadena, CA (NOW HIRING)

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... You earned their respect, not by out-coding them, but by being sharp, direct and useful. You know ...

Data Scientist

Los Angeles, CA ยท On-site

$107K - $161K/yr

Reporting to the Director, Pricing Strategy & Insights, this role helps elevate the analytical ... Design, build, and maintain statistical and machine-learning models to support pricing decisions ...

... machine learning features within BlackLine and modern ERP systems (e.g., NetSuite, SAP, Oracle ... direct people management and team leadership experience. Systems, Data & AI Mastery * Strong ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Data Engineer Intern

Los Angeles, CA ยท On-site

$123K - $148K/yr

... machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent across ongoing projects. They must be self-directed and comfortable ...

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

... machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent across ongoing projects. They must be self-directed and comfortable ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Art Director, CX Responsibilities: * Art directors direct, design and conceptualize brand ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Showing results 41-60

Director Machine Learning information

See Pasadena, CA salary details

$39.3K

$100.3K

$153.8K

How much do director machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for director machine learning in Pasadena, CA is $100,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Pasadena, CA?

The most popular types of Machine Learning jobs in Pasadena, CA are:

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

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

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

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

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

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

Infographic showing various Director Machine Learning job openings in Pasadena, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,280 per year, or $48.2 per hour.

Director, Customer Implementation

Neara

Los Angeles, CA โ€ข On-site

$180K - $250K/yr

Full-time

Re-posted yesterday


Job description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world's largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
We are seeking a leader who thrives at the intersection of complex project management, high-touch customer success and strategic consulting. This is a role for an orchestrator-someone who can take full ownership of high-stakes enterprise accounts, navigating technical work streams and demanding stakeholders with total autonomy.
You will lead a small team of elite technical contributors. While you don't need to be the deepest coder in the room, you must possess the technical intuition to validate solutions, identify inefficiencies and ensure your team is delivering at their highest potential. Your mission is simple: move the needle for the customer. You aren't here to manage a contract, you are here to solve the real problem.
Core responsibilities:
  • Account strategy: Develop and maintain a "living" account strategy. You define the what, why and how, ensuring the team remains aligned on long-term objectives rather than just ticking boxes.
  • Value-driven delivery: Shift the focus from hitting milestones to realizing actual business value. You are accountable for ensuring the customer is materially better off because of our platform.
  • Team leadership: Mentor and challenge a team of technical ICs. You will unblock their workflows, hold them to high standards and coach them through high-stakes customer interactions.
  • Organisational navigation: Master the internal politics of enterprise environments. You will map influence, build multi-level relationships and navigate complex stakeholder landscapes to drive consensus. This is a core part of the job, not a nice-to-have.
  • Decisive judgment: You will know when to escalate and when to handle it yourself. When things go wrong, you will stay calm, diagnose fast and act. You'll remain calm under pressure and take corrective action without waiting for external direction.

What we're looking for:
  • Proven delivery record: You have successfully navigated high-pressure, complex implementations. You've seen things go wrong, learned from the experience and know how to course-correct effectively.
  • Technical credibility: You have led teams with strong technical ICs. You earned their respect, not by out-coding them, but by being sharp, direct and useful. You know how to get the best out of people who have high expertise in specific domains.
  • Exceptional problem solving: You can structure ambiguous challenges and provide clear, actionable recommendations under pressure. You can do this for operational and organisational challenges as readily as technical ones.
  • Adaptive learning: You have a demonstrated ability to master new industries or domains at an accelerated pace.
  • Radical independence: You are a self-starter who prioritises alignment over permission. You thrive in environments with high autonomy and low hand-holding.

Who you are:
  • Startup operators: Former CEOs, COOs, Heads of Delivery, or senior generalists from technical product companies operating in highly complex environments.
  • Engagement Managers: Senior consultants who have led technical delivery from strategy through to execution. You are an SME on implementation not just strategy.
  • Technical Program Leads: Leaders who have managed cross-functional teams on high-stakes, large-scale implementations. You can develop people around you, not just co-ordinate them.

Things to note:
  • Location: We prefer candidates based near their primary customer.
  • Travel: Expect regular travel to customer sites. Onboarding includes a one-month immersion at our HQ (NYC or equivalent).

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