They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Minimum Qualifications BS in electrical, optical or computer engineering/science, and a minimum of ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Minimum Qualifications BS in electrical, optical or computer engineering/science, and a minimum of ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...
... engineers in end-to-end machine learning and data pipelines. Qualifications: • MS or PhD in a ... Python and analysis of image-like data. • Strong knowledge in supervised machine learning and ...
... engineers in end-to-end machine learning and data pipelines. Qualifications: • MS or PhD in a ... Python and analysis of image-like data. • Strong knowledge in supervised machine learning and ...
Machine Learning Engineer
$150K - $277K/yr
Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Pay & Benefits At Apple, base ...
Machine Learning Engineer
$150K - $277K/yr
Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Pay & Benefits At Apple, base ...
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Machine Learning Engineer
$184K - $324K/yr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...
Machine Learning Engineer
$184K - $324K/yr
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...
Machine Learning Engineer
$120K - $180K/yr
... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...
Machine Learning Engineer
$120K - $180K/yr
... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). * Exposure to ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). * Exposure to ...
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... Python * CI/CD Pipelines for Machine Learning Systems * Production Machine Learning Deployments
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... Python * CI/CD Pipelines for Machine Learning Systems * Production Machine Learning Deployments
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...
Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...
Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
Machine Learning Engineer
San Jose, CA · On-site
Proficient in programming languages such as Python, R, or similar * Strong foundation in probability, statistics, and mathematical modeling * Knowledge of common machine learning algorithms and ...
Machine Learning Engineer
San Jose, CA · On-site
Proficient in programming languages such as Python, R, or similar * Strong foundation in probability, statistics, and mathematical modeling * Knowledge of common machine learning algorithms and ...
Machine Learning Engineer
Los Angeles, CA · On-site
$160K - $250K/yr
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...
Machine Learning Engineer
Los Angeles, CA · On-site
$160K - $250K/yr
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...
Machine Learning Engineer
Torrance, CA · On-site
$160K - $250K/yr
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...
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Machine Learning Engineer
Torrance, CA · On-site
$160K - $250K/yr
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...
Machine Learning Engineer
$216K - $324K/yr
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...
Machine Learning Engineer
$216K - $324K/yr
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...
AI Engineer
San Jose, CA · On-site
$230K - $280K/yr
Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer to join a small ...
AI Engineer
San Jose, CA · On-site
$230K - $280K/yr
Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer to join a small ...
Machine Learning Engineer Python information
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 the salary of machine learning engineer in Python?
The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.
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 is the difference between Machine Learning Engineer Python vs Data Scientist?
| Aspect | Machine Learning Engineer Python | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Data Science, or related; Python skills; ML certifications | Bachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications |
| Work Environment | Develops scalable ML models, deploys algorithms, collaborates with engineering teams | Analyzes data, builds models, interprets results, communicates insights |
| Employer & Industry Usage | Tech companies, startups, AI-focused firms | Finance, 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 engineer makes $500,000 a year?
A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.
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 a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.
Is Python enough for ML engineers?
Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
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:
- Machine Engineer
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
- Temporary Machine Learning R
- Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Senior Machine Learning Engineer Biotech
- Remote Machine Learning Engineer
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:
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Abaka AI is built on a mission to be the world’s most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical roadmap for model development.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Abaka AI is built on a mission to be the world’s most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical roadmap for model development.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.