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Commission Machine Learning Startup Jobs in California

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...

... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...

We're a fast-moving startup where priorities evolve quickly -- you should be energized by that, not worn down by it. What You'll Do * Design, build, and deploy machine learning models into production

New

Startup Mindset * Thrives in fast‑paced, high‑ownership environments. * Comfortable wearing multiple hats across machine learning, research, backend engineering, and infrastructure. Preferred ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Startup mindset with a desire to build and move quickly Bonus * Recommendation Systems * Marketing ...

... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

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Commission Machine Learning Startup information

What is the difference between Commission Machine Learning Startup vs Data Scientist?

AspectCommission Machine Learning StartupData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML modelsDegree in Computer Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentStartup setting, fast-paced, innovative projects, often remote or flexibleCorporate or research environment, collaborative teams, often office-based
Industry UsageTech startups, AI-focused companies, innovative product developmentTech firms, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding roles in ML startups, freelance or commission-based opportunitiesCareer development, skill requirements, industry roles

Commission Machine Learning Startup roles focus on developing ML solutions within startup environments, often with flexible or freelance arrangements. Data Scientists typically work in established companies, applying statistical and programming skills to analyze data. Both roles require similar credentials but differ in work setting and industry focus.

What are the most commonly searched types of Machine Learning Startup jobs in California? The most popular types of Machine Learning Startup jobs in California are:
What cities in California are hiring for Commission Machine Learning Startup jobs? Cities in California with the most Commission Machine Learning Startup job openings:

Machine Learning Engineer

Pattern AI

San Mateo, CA • On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Company Description
PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.
Job Description
We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities:
  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.
  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications
Experience:
  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
  • Proficiency across topics in machine learning and statistics.
  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
  • Experience implementing, deploying, and maintaining production machine learning systems.
  • Experience monitoring and optimizing model performance.
  • Experience with Linux, Docker and AWS, and basic development operations.
  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information
About PatternAI
PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
All your information will be kept confidential according to EEO guidelines.