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Python Ml Developer Jobs in San Marcos, CA (NOW HIRING)

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

Icwgroup

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

Icwgroup

Applied AI Engineer

San Diego, CA

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software ... Strong software engineering skills in Python and/or Java, including API development, testing ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/yr

The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

ResMed

Commercial Analytics Analyst

San Diego, CA · On-site

Familiarity with AI-enabled analytics tools or platforms (e.g., Python ML libraries, Snowflake ... Exposure toPython or comparable analytical programming tools to supportexploratory analysis ...

MatrixCare

Commercial Analytics Analyst

San Diego, CA · On-site

Familiarity with AI-enabled analytics tools or platforms (e.g., Python ML libraries, Snowflake ... Exposure toPython or comparable analytical programming tools to supportexploratory analysis ...

ResMed

Senior Software Engineer, Data Engineering

San Diego, CA · On-site

$130K - $171K/yr

... ML workloads, and engineering productivity across the organization. If you enjoy solving complex ... Build backend platform services and APIs using Python and cloud-native architectures. * Develop ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in San Marcos, CA

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for python ml developer in San Marcos, CA is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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Python Ml Developer jobs near you
Principal Software Engineer, Perception Pretraining

Principal Software Engineer, Perception Pretraining

Waymo

San Diego, CA • Hybrid

$143K - $192K/yr

Other

Posted 5 days ago

Job description

The Perception team at Waymo builds technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, allowing ML practitioners like you to develop multi-modal models and techniques at scale.

You will report to our Director of Engineering in our Perception Organization.

You will:

  • Develop sensor-fusion foundation models for the Waymo Driver which can run on the car and provide a temporal-spatial understanding of the surrounding environment
  • Solve large-scale, multi-stage training of sensor fusion foundation models with millions of miles of driving data under limited labeling budget partnering with Waymo infrastructure teams
  • Develop solutions for frequently updating the models and minimizing time-to-impact from observing to addressing an issue
  • Optimize end-to-end latency from model training/update to model deployment
  • Drive and accelerate collaborations between Perception teams, between Perception and AI Foundation teams, and partner with the teams working on Planning, Simulation and seek collaboration with Alphabet's research teams

You have:

  • Master's degree or PhD in Computer Science, Engineering, or a related technical field
  • 10+ years of experience in ML model development, and you have 4+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models
  • 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment
  • 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations
  • 3+ years of experience with computer vision models, or LLMs, or vision language models
  • Proficiency in C++, Python, and modern deep learning toolkits like PyTorch or JAX
  • Passion to lead engineering excellence and efficient model development through flywheel automation, while having direct technical experience in model quality development to achieve our goals

We prefer:

  • Experience in multi-modal LLM pretraining and fine-tuning, and their infrastructure
  • Experience in model distillation techniques and compute optimization
  • Familiarity with end-to-end models and their development challenges

#LI-Hybrid

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