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Phd Machine Learning Startup Jobs in California (NOW HIRING)

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud platforms such as AWS, GCP, or Azure. * A strong portfolio of projects demonstrating ML expertise.

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will play a central role in building the core technology for training ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

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Phd Machine Learning Startup information

What does a PhD machine learning professional do at a startup?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What skills and qualifications are needed to thrive as a PhD machine learning professional in a startup?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.

What are common challenges faced by PhD machine learning professionals in startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

How much does a PhD in machine learning make?

A PhD in machine learning working at a startup or tech company typically earns between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning or AI may command higher salaries, especially in competitive markets.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, or data scientist in startups and tech companies. It enables expertise in developing algorithms, analyzing large datasets, and deploying AI models using tools like Python, TensorFlow, or PyTorch. These roles often require strong programming skills, knowledge of statistical methods, and the ability to work on innovative AI solutions.

What are popular job titles related to Phd Machine Learning Startup jobs in California?

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The top searched job categories for Phd Machine Learning Startup jobs in California are:

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Phd Machine Learning Startup jobs near you

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 29 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Minimum Qualifications
Software engineering skills and proficiency in Python
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience
Preferred Qualifications
Passion for delivering high quality features to large groups of diverse end-users
Excellent communication and experience working with multi-functional teams
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
MS degree in computer vision, computer graphics, machine learning or related field
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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