ZipRecruiter

Log In

1

Weekend Machine Learning Postdoc Jobs in California

next page

Showing results 1-20

All JobsMachine Learning Postdoc JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in California

Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are the most commonly searched types of Machine Learning Postdoc jobs in California? The most popular types of Machine Learning Postdoc jobs in California are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in California? For Weekend Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in California look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in California are:
What cities in California are hiring for Weekend Machine Learning Postdoc jobs? Cities in California with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you

Senior Machine Learning Engineer

Orchard Robotics

San Francisco, CA • On-site

$150K - $265K/yr

Full-time

Medical, Dental, Vision

Re-posted 24 days ago

Job description

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before.
What We Do:
We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision.
Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation.
The Role:
In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing.
We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.
About the role:
  • As an early engineer, you'll receive generous equity compensation
  • Full-time role at our San Francisco, CA office
  • Flexible working hours
  • Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium
  • We move fast, and sometimes this means staying late or working weekends
  • Our team is close-knit & highly driven, you'll work directly with our CEO and entire team
  • We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed.

What you'll do:
  • Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
  • Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.
  • Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.
  • Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance.
  • Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems.
  • Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.
  • Be a generalist, supporting different parts of our software stack as needed.

What makes you a good fit:
  • 5+ years of experience building production-grade data pipelines and ML infrastructure.
  • Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
  • Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience working with massive amounts of real-world training data.
  • Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.
  • Ability to work independently, learn quickly, and operate in a dynamic environment
  • Enthusiasm for taking on multiple roles and responsibilities as our company grows.

Bonus Points:
  • Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson
  • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

If you're looking to help make a positive impact in the world by building the future of farming, come join us!

Apply