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Machine Learning Engineer Python Jobs in California

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

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

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 ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

Machine Learning Engineer Machina Labs is changing the way manufacturing works. We build ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify ... Comfortable working with Python or similar programming languages for data analysis and model ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the ... Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

As a Machine Learning Engineer, you will develop and implement machine learning techniques and ... g., Python, R, C, C++). • 1+ year of experience using statistics and probability (e.g ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling ... in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc ...

Sonitalent LLC

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Visa: No GC LinkedIn : Must ... Minimum Requirements: * In-depth knowledge of Python for high-performance, data-intensive ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Minimum Requirements In-depth knowledge of Python for high-performance, data-intensive applications.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field. MS or PhD in computer vision ...

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Machine Learning Engineer Python information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in California? For Machine Learning Engineer Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in California look for? The top searched job categories for Machine Learning Engineer Python jobs in California are:
What cities in California are hiring for Machine Learning Engineer Python jobs? Cities in California with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you

Machine Learning Engineer

F. Hoffmann-La Roche AG

South San Francisco, CA • Hybrid

$191.50K - $249.10K/yr

Other

Posted 21 days ago

Job description

Machine Learning Engineer

Genentech, Inc. seeks a Machine Learning Engineer at its South San Francisco, CA location.

Duties: Within global healthcare company, build, deploy and maintain machine learning solutions, including extracting, cleaning/transforming, and applying processes for biomedical imaging applications and multi-modal datasets. Apply mathematical, computational, and algorithmic techniques to further develop and refine machine learning models that meet company and customer needs. Create comprehensive, quality documentation detailing the implementation and usage of developed machine learning components, facilitating smooth integration into larger systems. Participate actively in code and design reviews, offering constructive feedback and suggestions to enhance functionality and promote optimal solutions. Collaborate with cross-functional teams to gather requirements, define use cases, and determine feasible approaches to address complex machine learning problems. Present findings and progress updates to internal and external stakeholders, delivering clear and compelling narratives supported by data, charts, graphs, and illustrations. May telecommute up to 2 days per week.

Education and experience required: Master's degree, or foreign degree equivalent, in Computer Science, Biomedical Imaging or closely related field and 2 years of experience as Machine Learning Engineer, Data Scientist, Software Engineer Machine Learning or closely related position.

Special Requirements: Academic or professional experience must include each of the following:

  • Advanced models for drug development research with Machine Learning and Deep Learning
  • Develop software solutions for bench scientists to advance drug development research with software engineering
  • Python for developing machine learning and software applications
  • Store data in databases for developing advanced solutions for research
  • Cloud platform technologies like Azure and AWS to run workloads and deploy solutions
  • Large language model application development and operations
  • Design and train specialized machine learning models for biomedical analysis

May telecommute up to 2 days per week.

Worksite: 1 DNA Way, South San Francisco, CA 94080

The expected annual salary range for this position based on the primary location for this position of South San Francisco, CA is $191,496 to $249,100 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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