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Contract Machine Learning Research Scientist Jobs in California

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 · 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 ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Contract Machine Learning Research Scientist information

What does a contract machine learning research scientist do?

A Contract Machine Learning Research Scientist is a professional hired on a temporary or project basis to design, develop, and implement machine learning models and algorithms. They collaborate with teams to analyze data, conduct experiments, and improve AI systems, often in academic, industrial, or commercial settings. Their work typically involves researching new techniques, publishing findings, and translating research into practical applications. Since they work on a contract basis, their roles may vary depending on the project's needs and duration.

What are the key skills and qualifications needed to thrive as a contract machine learning research scientist?

To thrive as a Contract Machine Learning Research Scientist, you need advanced knowledge of machine learning algorithms, statistical modeling, and a graduate degree in computer science, mathematics, or a related field. Expertise with programming languages such as Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and experience using version control systems are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart in collaborative and fast-paced research environments. These skills are crucial for developing innovative solutions, interpreting complex data, and delivering high-quality research outcomes within contractual timelines.

What are some common challenges faced by contract machine learning research scientists when working on short-term projects?

Contract machine learning research scientists often encounter challenges such as limited timeframes to achieve research milestones, quickly adapting to new domains or datasets, and efficiently integrating with existing teams. As short-term contributors, they must rapidly understand the project's context and deliver impactful results within strict deadlines. Clear communication and proactive collaboration with permanent staff are essential to ensure alignment with project goals and to maximize the value delivered during the contract period.

What is the difference between Contract Machine Learning Research Scientist vs Data Scientist?

AspectContract Machine Learning Research ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, R&D teams, academic collaborationsBusiness analytics, product teams, data-driven decision making
Employer & Industry UsageTech companies, research institutions, startupsFinance, healthcare, e-commerce, tech firms

Contract Machine Learning Research Scientists focus on developing new algorithms and conducting research, often in academic or R&D settings. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong ML knowledge, the research scientist role emphasizes innovation and experimentation, whereas data scientists focus on applying existing models to real-world problems.

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 are popular job titles related to Contract Machine Learning Research Scientist jobs in California?

For Contract Machine Learning Research Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Research Scientist jobs in California look for?

The top searched job categories for Contract Machine Learning Research Scientist jobs in California are:

What cities in California are hiring for Contract Machine Learning Research Scientist jobs?

Cities in California with the most Contract Machine Learning Research Scientist job openings:

Contract Machine Learning Research Scientist jobs near you

Research Scientist

Horizon Robotics

Cupertino, CA • Hybrid

$150K - $300K/yr

Full-time

Re-posted 13 days ago

Job description

HORIZON ROBOTICS: Make human life safer and better

About Horizon Robotics

Horizon Robotics (HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is  key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale.

The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow machines to learn new knowledge and skills as efficiently as humans. 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, you will conduct research within a specialized focus area and collaborate with internal and external world-class researchers and applied engineering teams.
 
- Propose and formulate research problems towards solving AGI
- Design, implement and evaluate algorithms, models and prototypes of AI systems
- Collaborate with team members to achieve research goals
- Report and present research findings internally and externally (such as in top tier academic journals and/or conferences)
 
Here is what we’d like to see in you:
 
- PhD degree (or close to completion)) in computer science, machine learning, robotics, or related field, with a broad knowledge of machine learning approaches and theory
- Track record of coming up with and implementing new ideas in AI
- Strong ability in mathematically modeling real world problems
- Strong ability in implementing algorithms and systems
- Hunger for learning new things
- Passion in artificial general intelligence and willingness to do challenging deep research
- Experience in one or more fields of artificial intelligence such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, large language models, etc.
- Applicants must be able to obtain work authorization in the U.S. at the time of hire and maintain ongoing work authorization during employment.
 
This is a hybrid role with the expectation of working at least 3 days per week in our Cupertino office.

The base pay range for this full-time Research Scientist position is between $150,000 and $300,000/year plus equity incentive, depending on your experience, qualifications, education, skills and other related factors.

This position is also eligible for an annual performance bonus, and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance. We also offer a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off (PTO). 

OPT extension, H-1B visas and green card petitions are sponsored.

 
Your compensation will be determined based on your location, experience, and the pay of employees in similar positions.
Horizon Robotics is committed to be an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Privacy Notice to California Employees and Job Applicants 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.