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Day Shift Remote Python Machine Learning Jobs in California

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20 ... Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20 ... Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go ...

Expedia

Machine Learning Scientist III

San Jose, CA · Remote

Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn ... the machine learning software development lifecycle from experimentation through operational ...

EvenUp Inc

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

$212K - $301K/yr

High proficiency in Python and strong command of modern ML/NLP frameworks. * Demonstrated ability ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Notice to ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Proficient coding skills and strong software development experience in Spark, Python, or Java

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's Degree ... This role is expected to accept applications for a minimum of 5 business days. No agencies please.

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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

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

Company Description
Job Description
Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home
As Machine Learning Technical Lead, you own the execution layer of intelligence. You will translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints. This position is 100% Remote.
Machine Learning Technical Lead Responsibilities:
- Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
- Architect and operate scalable inference systems, balancing latency, cost, and reliability.
- Design and maintain data systems for high-quality synthetic and real-world training data.
- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
- Work under real production constraints: latency, cost, reliability, and safety
Machine Learning Technical Lead Outcomes:
- Research and models reliably translate into production-ready solutions with clear performance and quality targets.
- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.
- Production issues are detected, debugged, and resolved quickly, minimizing user impact.
- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.
- Iterations on models and systems are measurable, safe, and improve user experience over time.
Qualifications
Machine Learning Technical Lead Qualifications:
- Experience building or shipping real Machine Learning systems used by people, not just demos.
- Artificial Intelligence (AI) experience required.
- Experience working with large models and understanding their failure modes.
- Experience writing strong, production-grade code.
- You are self-directed, pragmatic, and take full ownership of outcomes.
- You communicate clearly and collaborate well in small, high-trust teams.
- Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Machine Learning Technical Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Machine Learning Technical Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
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