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Weekday Machine Learning Research Scientist Jobs in California

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

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All JobsWeekday Machine Learning Research Scientist JobsWeekday Machine Learning Research Scientist Jobs in California

Weekday Machine Learning Research Scientist information

What are the key skills and qualifications needed to thrive as a Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

What are the most commonly searched types of Machine Learning Research Scientist jobs in California? The most popular types of Machine Learning Research Scientist jobs in California are:
What cities in California are hiring for Weekday Machine Learning Research Scientist jobs? Cities in California with the most Weekday Machine Learning Research Scientist job openings:
Weekday Machine Learning Research Scientist jobs near you
Computer Vision-Machine Learning Research Scientist

Computer Vision-Machine Learning Research Scientist

UTOPIACOMPRESSION CORPORATION

Santa Monica, CA • On-site

$55 - $71/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

UtopiaCompression Corporation is seeking a highly skilled research scientist in Computer Vision (CV)-Machine Learning (ML) domains actively involved in a diverse range of research and development programs including, but not limited to, CV, ML and Artificial intelligence (AI). The prospective candidate shall innovate and adapt a multidisciplinary approach to solve problems in visual analytics for all domains (air, sea and ground).

Basic Requirements

● PhD (minimum), in ComputerVision, Computer Science, or an Engineering discipline relevant to the expertise noted below.

● Deep and diverse knowledge in computer vision both in theory and practice, classical computer vision, image and video analysis, object detection and recognition, 3D reconstruction, motion analysis and tracking, diffusion models, GenAI.

● Experience with real-world sensor integrations, including EO/IR cameras, LiDAR, Radar and PTZ cameras.

● Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure).

● Building and maintaining CI/CD pipelines for ML.

● Experience with containerization and orchestration (Docker, Kubernetes).

● Impressive track record in research, technical proposal and scientific publications, and communication skills. The Candidate is required to have publications in reputable journals, e.g. CVPR, IEEE.

● Experience with GPU / CUDA programming for accelerated computer vision processing.

● Proficient in C++, Python, OpenCV, TensorFlow, Keras, PyTorch

● Ability to obtain U.S. Secret Clearance.

Who We Are
UtopiaCompression Corporation, located in the west side of Los Angeles, is a leader in cutting-edge solutions for:

● Computer vision and machine learning;

● Planning and control for autonomous systems;

● Human-computer interaction for autonomous systems;

We offer a challenging and exciting environment to work on high-risk, high-reward technologies with the potential to bring about transformational changes to state-of-the-art.

Benefits

1. Competitive compensation package

2. Fully paid for health care benefits

3. 401(k) with employer matching

4. Relocation, if applicable

5. Paid vacations and sick leave allowances

6. Company stock options

To apply, send your resume to: innovate at utopiacompression.com with the job title as the subject.

Company Description

High-Tech Company