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Day Shift Remote Python Machine Learning Jobs in California

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$125K - $172K/yr

... days per week in office), or remote. What You'll Do: * Implement and refine DL pipelines on ... Python (preferred), Java, Julia, C, C++, etc. * Strong knowledge of ML and DL fundamentals and ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... days per week in office), or remote. What you'll do: * Implement and refine DL pipelines on ... Python (preferred), Java, Julia, C, C++, etc. * Strong knowledge of ML and DL fundamentals and ...

Absurd Ventures

Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers ... Proficient in Python and ML libraries such as PyTorch or TensorFlow. * Familiarity with training ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... (2-3 days per week in office), or remote. What you'll do: * Independently pursue cutting edge ... Python, R, Java, C, C++, etc. * Proficiency in one or more ML frameworks such as; Pytorch ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... (2-3 days per week in office), or remote. What you'll do: * Independently pursue cutting edge ... Python, R, Java, C, C++, etc. * Proficiency in one or more ML frameworks such as; Pytorch ...

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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
Infographic showing various Day Shift Remote Python Machine Learning job openings in California as of June 2026, with employment types broken down into 5% Locum Tenens, 11% As Needed, 57% Full Time, 11% Part Time, 5% Contract, and 11% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

San Diego, CA • On-site

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted yesterday

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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