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Telecommute Tensorflow Developer Jobs in California

Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key ... Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may ...

New

Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key ... Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may ...

New

Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key ... Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may ...

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

... TensorFlow) * Experiencecreating interactive dashboards with Tableau, Power BI, and others ... Flexible Work Schedule/Telecommuting * Vacation/ PaidTime Off * EmployeeDiscounts and Rewards

Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote ... The role involves building end-to-end solutions, collaborating with data scientists and engineers ...

Senior Software Engineer

San Mateo, CA · Hybrid

$193K - $289K/yr

... TensorFlow and PyTorch for system design and data processing; and applying AR/VR development ... Telecommuting and/or working from home may be permissible pursuant to company policies. Please ...

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master ... PyTorch, Tensorflow, Scala, Java, and Python (4 years). 4. Experience working on low latency system ...

Partial telecommuting permitted from within a commutable distance.Minimum Requirements: Master ... (2 years)6. Experience in TensorFlow or PyTorch (1 year)7. Experience in Data-Driven ...

Experiencewith data preprocessing, feature engineering, and model evaluationtechniques ... Flexible Work Schedule/Telecommuting * Vacation/ PaidTime Off * EmployeeDiscounts and Rewards

Senior AI Software Engineer

San Jose, CA · On-site

$255.65 - $299/hr

TensorFlow, PyTorch); * 8 years of experience with Software development best practices and version ... Telecommuting work arrangement permitted: position may work in various unanticipated locations ...

Senior Software Engineer

San Mateo, CA · On-site

$193K - $289K/yr

... TensorFlow and PyTorch for system design and data processing; and applying AR/VR development ... Telecommuting and/or working from home may be permissible pursuant to company policies. Please ...

Senior Staff Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Bachelor ... PyTorch, TensorFlow, XGBoost, and Scikit-learn Machine Learning Libraries (6 years) (14) AWS ...

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

... Programing languages for modern AI and Data Science (Python, R, Tensorflow, PyTorch). 5-10% ... Telecommuting permitted less than 50% per week within the same geographic location as the assigned ...

Telecommute Tensorflow Developer information

What is the difference between Telecommute Tensorflow Developer vs Data Scientist?

AspectTelecommute Tensorflow DeveloperData Scientist
Required SkillsTensorFlow, Python, Machine Learning, Deep LearningStatistics, Python/R, Data Analysis, Machine Learning
Work EnvironmentRemote, collaborative teams, tech companiesRemote or onsite, research or business settings
Industry UsageAI/ML development, software companiesData analysis, business intelligence, research

While both roles often require Python and machine learning knowledge, a Telecommute Tensorflow Developer primarily focuses on building and deploying AI models using TensorFlow in a remote setting. A Data Scientist analyzes data to generate insights, often using different tools like R or statistical methods. The roles overlap in skills but differ in core responsibilities and focus areas.

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Cities in California with the most Telecommute Tensorflow Developer job openings:

Machine Learning Engineer

Doist

South San Francisco, CA • On-site

$212 - $318/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Who we are

About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you'll do
  • Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
  • Design systems to speed up the time from idea to deployment of new models.
  • Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.
  • Develop pipelines and automated processes to train and evaluate models in offline and online environments.
  • Integrate ML models into production systems and ensure their scalability and reliability.
  • Collaborate with product and strategy partners to propose, prioritize, and implement new product features.
  • Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.
Who you areMinimum requirements
  • Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.
  • Must have two (2) years of experience in each of the following: ML algorithms and model architectures; Designing, training and evaluating machine learning models; Productionizing and deploying machine learning models at scale; Orchestrating data pipelines and leveraging large-scale datasets; and Building and deploying ML models to solve business problems.
  • Must have one (1) year of experience in each of the following: ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and Deep learning, including transformers, test-time compute, or reinforcement learning.

Salary: $212,000 - $318,000/yr. This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week 50% Telecommuting Permitted. Multiple Positions Available.

Additional benefits for this role may include:
  • equity, company bonus or sales commissions/bonuses
  • 401(k) plan
  • medical, dental, and vision benefits
  • and wellness stipends.

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