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Director Graduate Machine Learning Jobs in Pasadena, CA

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Experience with reinforcement learning or contextual bandit systems gained through graduate ... Expertise in training, evaluating, tuning, and deploying machine learning models across deep ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

What You'll Do You'll develop machine learning models that move beyond experimentation and into ... Experience with reinforcement learning or contextual bandit systems gained through graduate ...

Paramount

Machine Learning Engineer, Entry

Burbank, CA · On-site

$124K - $186K/yr

Overview As a member of the Applied Machine Learning Group, you'll help build a world-class ... the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and ...

LHH US

Director of Engineering, AI/ML

Los Angeles, CA

$250K - $380K/yr

LHH is seeking a Director of Engineering, AI/ML, in a full-time capacity. In this role, you'll lead ... You will oversee the entire machine learning lifecycle, from concept to deployment, with strategic ...

LHH US

Director of Engineering, AI/ML

Los Angeles, CA · On-site

$250K - $380K/yr

LHH is seeking a Director of Engineering, AI/ML, in a full-time capacity. In this role, you'll lead ... You will oversee the entire machine learning lifecycle, from concept to deployment, with strategic ...

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All JobsGraduate Machine Learning JobsDirector Graduate Machine Learning JobsDirector Graduate Machine Learning Jobs in Pasadena, CA

Director Graduate Machine Learning information

See Pasadena, CA salary details

$65.4K

$113.1K

$178.3K

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

As of Sep 1, 2026, the average yearly pay for director graduate machine learning in Pasadena, CA is $113,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

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

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

Director Graduate Machine Learning jobs near you

Machine Learning Engineer

Los Angeles, CA

Silvus Technologies
Wireless Telecommunications Carriers • 51 - 200 employees
Learn more about Silvus Technologiesexternal

Full-time

Re-posted 3 days ago

Job description

THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team.  The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems.  This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule.  A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

 ROLE AND RESPONSIBILITIES

  • Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
  • Analyze real-world RF datasets to extract insights and develop predictive models.
  • Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
  • Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
  • Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
  • Participate in performance benchmarking and iterative improvement cycles.
  • Stay current with the latest Machine Learning research for wireless and embedded systems.
  • Perform other related duties of which the above are representative.

REQUIRED QUALIFICATIONS

  • Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD)
  • Strong foundation in supervised and unsupervised learning and statistical modeling.
  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
  • Exposure to MATLAB or C/C++ for signal processing algorithm development.
  • Must be a U.S. Citizen due to clients under U.S. government contracts.
  • All employment is contingent upon the successful clearance of a background check and drug test.

 PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

  • MS. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
  • Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access).
  • Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
  • Background in adaptive modulation, beamforming, or cognitive radio techniques.
  • Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
  • Experience with GPU acceleration or model optimization for constrained environments.
  • Excellent communication and collaboration skills.

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS

  • Office environment.
  • Outdoor environment for demos.
  • Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
  • While performing the duties of this job, the employee is required to do the following:
    • Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
    • Perform bending and reaching movements to place items on lower and higher shelves.

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