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Python Machine Learning Jobs in San Diego, CA (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

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 ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

... Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm ...

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

PURPOSE OF THE JOB The Machine Learning Engineer (MLE) selected for this role at ICW Group will ... Experience with Python, PyTorch, and Linux. PHYSICAL REQUIREMENTS Office environment - no specific ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

PURPOSE OF THE JOB The Machine Learning Engineer (MLE) selected for this role at ICW Group will ... Experience with Python, PyTorch, and Linux. PHYSICAL REQUIREMENTS Office environment - no specific ...

ICW Group

Machine Learning Engineer

San Diego, CA · Hybrid

PURPOSE OF THE JOB The Machine Learning Engineer (MLE) selected for this role at ICW Group will ... Experience with Python, PyTorch, and Linux. PHYSICAL REQUIREMENTS Office environment - no specific ...

Apple

Machine Learning Engineer

San Diego, CA

$139K - $258K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Python for algorithm development and optimization Demonstrated ability to rapidly prototype ...

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How much do python machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python machine learning in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Python machine learning professional, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as data scientist, AI researcher, software engineer, cybersecurity analyst, and technical project manager. These jobs often involve designing, interpreting, and overseeing AI systems, requiring specialized skills, domain knowledge, and adaptability that AI tools currently cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions may involve overseeing large teams, strategic planning, and working with cutting-edge technologies and tools, and they usually offer compensation packages including base salary, bonuses, and stock options. Such high salaries are rare and usually found in large tech companies or organizations with significant AI investments.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

Can I learn AI in 3 months?

For a Python Machine Learning role, learning AI in three months is challenging but possible with intensive study, focusing on core concepts like algorithms, data handling, and relevant tools such as TensorFlow or scikit-learn. Success depends on prior programming experience, dedication, and structured learning plans, but mastering advanced AI topics typically requires longer timeframes.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

Is Python a high paying job?

Python machine learning roles are generally well-paid due to the high demand for data science and AI skills. Salaries depend on experience, location, and expertise with tools like TensorFlow or scikit-learn, but these positions often offer competitive compensation compared to other programming roles.
What are the most commonly searched types of Python Machine Learning jobs in San Diego, CA? The most popular types of Python Machine Learning jobs in San Diego, CA are:
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What job categories do people searching Python Machine Learning jobs in San Diego, CA look for? The top searched job categories for Python Machine Learning jobs in San Diego, CA are:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in San Diego, CA as of June 2026, with employment types broken down into 4% As Needed, 70% Full Time, 20% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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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