... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...
... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based ... Advanced knowledge of Python, SQL * Strong oral and written communication skills #LI-Hybrid
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based ... Advanced knowledge of Python, SQL * Strong oral and written communication skills #LI-Hybrid
D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...
D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...
... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...
... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...
Machine Learning Engineer
Fremont, CA · On-site
Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... Python, and experience with ML model optimization. • Ability to work independently and ...
Machine Learning Engineer
Fremont, CA · On-site
Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... Python, and experience with ML model optimization. • Ability to work independently and ...
Machine Learning Expert
Palo Alto, CA · On-site
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in ... Based on experience and market value Pack your bags! Paid relocation is on us. We provide support ...
Machine Learning Expert
Palo Alto, CA · On-site
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in ... Based on experience and market value Pack your bags! Paid relocation is on us. We provide support ...
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in ... Based on experience and market value Pack your bags! Paid relocation is on us. We provide support ...
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in ... Based on experience and market value Pack your bags! Paid relocation is on us. We provide support ...
... and implement machine learning-based image and video processing technologies that power both ... Python, Java, or C/C++ Preferred Qualifications PhD degree in Machine Learning, Computer Science ...
... and implement machine learning-based image and video processing technologies that power both ... Python, Java, or C/C++ Preferred Qualifications PhD degree in Machine Learning, Computer Science ...
Machine Learning Engineer
Menlo Park, CA · On-site
Required : • Strong programming expertise in Python, C, or Rust, with a focus on writing ... Expertise in fine-tuning and quantizing transformer-based models • Research to Production: Proven ...
Machine Learning Engineer
Menlo Park, CA · On-site
Required : • Strong programming expertise in Python, C, or Rust, with a focus on writing ... Expertise in fine-tuning and quantizing transformer-based models • Research to Production: Proven ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Java, C++, Python Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. Excellent ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Java, C++, Python Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. Excellent ...
Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning ... Python with a strong track record of building substantial projects. • Solid foundation in ...
Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning ... Python with a strong track record of building substantial projects. • Solid foundation in ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). * Excellent communication and ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). * Excellent communication and ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). * Excellent communication and ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). * Excellent communication and ...
... learning based image/video processing technologies for current and future Apple products. This ... Python, Java, or C/C++ programming skills. Preferred Qualifications Experience with performance ...
... learning based image/video processing technologies for current and future Apple products. This ... Python, Java, or C/C++ programming skills. Preferred Qualifications Experience with performance ...
Machine Learning Engineer
Santa Clara, CA · On-site
$150K - $277K/yr
As such, we are seeking candidates with applied machine learning experience and strong software ... C/C++, Go, Python, Java Pay & Benefits At Apple, base pay is one part of our total compensation ...
Machine Learning Engineer
Santa Clara, CA · On-site
$150K - $277K/yr
As such, we are seeking candidates with applied machine learning experience and strong software ... C/C++, Go, Python, Java Pay & Benefits At Apple, base pay is one part of our total compensation ...
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/yr
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/yr
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree
Python developer with LLM
San Jose, CA · On-site
$59 - $81.25/hr
The role requires strong Python development and debugging skills, with an emphasis on machine learning tools and possibly embedded systems experience. Responsibilities : • Need strong Python ...
Python developer with LLM
San Jose, CA · On-site
$59 - $81.25/hr
The role requires strong Python development and debugging skills, with an emphasis on machine learning tools and possibly embedded systems experience. Responsibilities : • Need strong Python ...
Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/yr
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree
Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/yr
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree
Machine Learning Engineer
Fremont, CA · On-site
Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...
Machine Learning Engineer
Fremont, CA · On-site
Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...
Machine Learning Engineer
Dublin, CA · On-site
Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. * Excellent problem-solving skills and attention to ...
Machine Learning Engineer
Dublin, CA · On-site
Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. * Excellent problem-solving skills and attention to ...
Home Based Python Machine Learning information
See Milpitas, CA salary details
$15.41 - $23.15
1% of jobs
$23.15 - $30.89
0% of jobs
$30.89 - $38.63
2% of jobs
$38.63 - $46.38
5% of jobs
$46.38 - $54.12
11% of jobs
$56.39 is the 25th percentile. Wages below this are outliers.
$54.12 - $61.86
18% of jobs
The median wage is $65.90 / hr.
$61.86 - $69.60
24% of jobs
$75.52 is the 75th percentile. Wages above this are outliers.
$69.60 - $77.34
18% of jobs
$77.34 - $85.09
13% of jobs
$85.09 - $92.83
5% of jobs
$92.83 - $100.57
3% of jobs
$15
$68
$100
How much do home based python machine learning jobs pay per hour?
As of Sep 2, 2026, the average hourly pay for home based python machine learning in Milpitas, CA is $68.32, according to ZipRecruiter salary data. Most workers in this role earn between $56.30 and $77.60 per hour, depending on experience, location, and employer.
What is the difference between Home Based Python Machine Learning vs Data Analyst?
| Aspect | Home Based Python Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Python programming, machine learning certifications, data analysis skills | Data analysis certifications, SQL, Excel, Python or R knowledge |
| Work Environment | Remote, home-based, often project-focused | Remote or on-site, business or client-focused |
| Industry Usage | Tech, finance, healthcare, e-commerce | Business, marketing, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.
What are popular job titles related to Home Based Python Machine Learning jobs in Milpitas, CA?
For Home Based Python Machine Learning jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Milpitas, CA look for?
The top searched job categories for Home Based Python Machine Learning jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Home Based Python Machine Learning jobs?
Cities near Milpitas, CA with the most Home Based Python Machine Learning job openings:
Full-time
Re-posted 22 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.