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Day Shift Remote Python Machine Learning Jobs in California

Adobe

Staff Machine Learning Engineer

San Jose, CA · On-site +1

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching ... Strong software engineering skills with proficiency in Python and experience building scalable ML ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow,Scikitlearn). * Experience ...

Amgen, Inc.

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site +1

$96K - $131K/yr

Experience with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms * Experience working with biological data, and in applying machine learning to computational biology * Strong ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows industry-standard design patterns ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows industry-standard design patterns ...

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Day Shift Remote Python Machine Learning information

What is the difference between Day Shift Remote Python Machine Learning vs Data Analyst?

AspectDay Shift Remote Python Machine LearningData Analyst
Required SkillsPython, Machine Learning, Data ModelingExcel, SQL, Data Visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, business-focused
Industry UsageTech, AI, Data ScienceBusiness, Marketing, Finance

Day Shift Remote Python Machine Learning roles focus on developing algorithms and models using Python, often in tech industries. Data Analysts interpret data to inform business decisions, utilizing tools like Excel and SQL. While both roles may be remote and require analytical skills, Python Machine Learning positions emphasize coding and model building, whereas Data Analysts focus on data interpretation and reporting.

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

A Day Shift Remote Python Machine Learning Engineer needs strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science, mathematics, or a related field. Experience with libraries and tools such as TensorFlow, PyTorch, scikit-learn, Git, and cloud platforms is commonly required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills help individuals excel in a remote and collaborative environment. These abilities ensure effective model development, deployment, and teamwork while meeting project goals in distributed settings.

What are Day Shift Remote Python Machine Learning jobs?

Day Shift Remote Python Machine Learning jobs are positions where professionals use Python to develop, implement, and maintain machine learning models while working remotely during standard daytime hours. These roles often involve tasks such as data analysis, feature engineering, model training, and deployment. By working remotely, employees have flexibility in their work environment, while the day shift ensures alignment with typical business hours for collaboration. These jobs are popular in industries like tech, finance, healthcare, and more, where machine learning plays a crucial role in decision-making and automation.

How do remote Python Machine Learning professionals typically collaborate with team members during the day shift?

Remote Python Machine Learning professionals often use a variety of online collaboration tools, such as Slack, Zoom, and project management platforms, to communicate with team members throughout the workday. Daily stand-up meetings, code reviews, and shared repositories (like GitHub) help ensure alignment on project goals and progress. Collaboration also extends to pair programming sessions, brainstorming model improvements, and jointly troubleshooting data issues. Being proactive in communication and documentation is key to staying connected and productive in a remote day shift environment.
What are popular job titles related to Day Shift Remote Python Machine Learning jobs in California? For Day Shift Remote Python Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Day Shift Remote Python Machine Learning jobs in California look for? The top searched job categories for Day Shift Remote Python Machine Learning jobs in California are:
What cities in California are hiring for Day Shift Remote Python Machine Learning jobs? Cities in California with the most Day Shift Remote Python Machine Learning job openings:
Day Shift Remote Python Machine Learning jobs near you

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

New

Job description

Job Description

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

As a Member of Technical Staff, Machine Learning, you will build core ML components.  The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.  The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.  This position is 100% Remote.

Member of Technical Staff Responsibilities:

- Build and improve ML components across data, training, evaluation, and inference.

- Fine-tune and adapt models as part of larger production systems.

- Implement evaluation and testing to understand model behavior.

- Help build and maintain data pipelines for real-world and synthetic data.

- Debug model issues, performance problems, and production incidents.

- Ship improvements iteratively and learn from real user feedback.

- Work closely with senior ML engineers and product teams.

- Work under real production constraints:  latency, cost, reliability, and safety

Member of Technical Staff Outcomes:

- ML models in production meet expected accuracy, latency, and reliability targets.

- Production issues are identified quickly, debugged effectively, and root causes addressed.

- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

- Iterations on models and systems are driven by real-world signals and measurable improvements.

Qualifications

Member of Technical Staff Qualifications:

- Strong foundations in machine learning and modern neural architectures.

- Artificial Intelligence (AI) experience required.

- Some hands-on experience training, fine-tuning, or deploying ML models.

- Comfortable writing production-quality code and learning new tools quickly.

- Curious, coachable, and eager to learn from real systems in production.

- Able to work through ambiguity with guidance and grow ownership over time.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  GPU, JAX, ML, Machine Learning, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Member of Technical Staff, GPU, JAX, Machine Learning, Member of Technical Staff, ML, Python, PyTorch, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting

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