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Graduate Machine Learning Jobs in California (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Graduate degree in Computer Science with a strong background in machine learning required. * Strong problem-solving abilities, solid background in algorithms and data structures required. * Strong ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Graduate degree in Computer Science with a strong background in machine learning required. * Strong problem-solving abilities, solid background in algorithms and data structures required. * Strong ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

You will design and implement advanced machine learning models for EEG-based neural decoding ... A graduate degree (M.S. or Ph.D.) in computer science or a related field-such as artificial ...

PayPal

Machine Learning Engineer

San Jose, CA · On-site

$117K - $138K/yr

This job will assist in designing, developing, and implementing machine learning models and ... Recent Graduate Position Information and Requirements: * This is a Recent Graduate Full-Time ...

Spotter

Machine Learning Scientist

Culver City, CA

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 ...

Socket.dev

$100 - $125/hr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

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Graduate Machine Learning information

What is a graduate machine learning?

A Graduate Machine Learning job is an entry-level role designed for recent graduates with a background in machine learning, data science, or a related field. It typically involves working on data-driven projects, developing machine learning models, and assisting in research or engineering tasks. Graduates may collaborate with data scientists, software engineers, and business teams to design algorithms, optimize models, and deploy AI solutions. This role helps build practical experience in applying ML techniques to real-world problems while contributing to the organization's AI initiatives.

What does the typical career progression look like for a graduate machine learning?

As a Graduate Machine Learning professional, you will usually begin your career by working on smaller projects or supporting senior scientists with data preparation, model training, and performance evaluations. Over time, as you gain experience and demonstrate technical proficiency, you’ll be given more complex, independent projects and may specialize in areas like natural language processing, computer vision, or deep learning. Many organizations provide opportunities for mentorship, professional development, and advanced certifications, paving the way for roles such as Machine Learning Engineer, Data Scientist, or Research Scientist. This path offers significant opportunities for growth, both in terms of technical expertise and leadership potential.

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

To thrive as a Graduate Machine Learning professional, you need a solid understanding of statistics, data analysis, machine learning algorithms, and programming languages such as Python or R, typically supported by a relevant degree. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), data visualization tools, and version control systems like Git is common. Strong problem-solving abilities, communication skills, and a collaborative mindset will help you stand out in team-based environments. These competencies are vital for effectively building, analyzing, and refining models to address real-world business challenges.

What are popular job titles related to Graduate Machine Learning jobs in California?

For Graduate Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Graduate Machine Learning jobs in California look for?

The top searched job categories for Graduate Machine Learning jobs in California are:

Graduate Machine Learning jobs near you
Infographic showing various Graduate Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 38% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

Carlsbad, CA • On-site

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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