1

Commission Rlhf Jobs in California (NOW HIRING)

Showing results 21-29

Commission Rlhf information

What is a Commission RLHF?

Commission RLHF jobs typically involve working on Reinforcement Learning from Human Feedback (RLHF) projects in a commission-based role. RLHF is an approach in artificial intelligence where models are trained using feedback from humans to improve their performance and alignment with human values. People in these jobs might collect and analyze human feedback, design reward models, or fine-tune AI systems. The commission aspect usually means pay is based on deliverables or performance rather than a fixed salary. These roles require strong analytical and communication skills, as well as some familiarity with machine learning concepts.

What are the key skills and qualifications needed to thrive as a Commission RLHF specialist?

To thrive as a Commission RLHF (Reinforcement Learning from Human Feedback) Specialist, you need a strong background in machine learning, data analysis, and computer science, often supported by an advanced degree in a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience in NLP models, and understanding of annotation tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret human feedback and collaborate with cross-functional teams. These skills are essential for developing and refining AI systems that accurately learn from and adapt to human input.

How do Commission RLHF professionals typically collaborate with cross-functional teams to implement reinforcement learning from human feedback in production environments?

Commission RLHF professionals frequently work alongside data scientists, machine learning engineers, and product managers to integrate reinforcement learning from human feedback (RLHF) into real-world applications. Collaboration often involves aligning on data collection strategies, interpreting human feedback, and iterating on model performance. Effective communication and coordination are crucial, as RLHF requires a blend of technical expertise and an understanding of user intent. Regular team meetings and joint problem-solving sessions help ensure that the RLHF models meet both technical and business objectives.

What is the difference between Commission Rlhf vs Real Estate Agent?

AspectCommission RlhfReal Estate Agent
CredentialsReal estate license, RLIHF certificationReal estate license
Work EnvironmentReal estate agencies, brokerage firmsReal estate agencies, brokerage firms
Industry UsageReal estate transactions, property salesProperty sales, leasing, market analysis
Search/Comparison IntentUnderstanding roles, certifications, and dutiesCareer info, licensing, job responsibilities

Commission Rlhf professionals focus on real estate transactions with specific certifications, while real estate agents perform similar duties but may not hold the RLIHF credential. Both work in real estate agencies and assist clients in buying, selling, or leasing properties. The main difference lies in the certification and possibly scope of practice, making it important for clients and job seekers to understand these distinctions.

What are the most commonly searched types of Rlhf jobs in California?

The most popular types of Rlhf jobs in California are:

What cities in California are hiring for Commission Rlhf jobs?

Cities in California with the most Commission Rlhf job openings:

AIML - ML Prototyping Engineer, Machine Learning Research

Apple

Cupertino, CA

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Posted 23 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

The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the innovative products that define tomorrow's user experiences. Our nimble, collaborative team transforms theoretical breakthroughs into tangible prototypes that help Apple understand where AI could go next, and help the broader ML community build on Apple research.
We're a small team of engineers who blend ML expertise, product intuition, and design sensibility. We learn by building-our prototypes range from novel architectures to complete interactive experiences, whatever best illuminates a research idea. We work at the boundary between what models can do today and what Apple products and the ML community will need tomorrow.
Description
This role spans the full stack of AI development: from training and fine-tuning models, to building the systems that serve them, to crafting the interfaces that let people experience them. You'll iterate rapidly and communicate what you've learned.
We value diverse experiences and unconventional paths-what matters is that you can build, learn, and communicate what you've discovered. We're looking for someone who brings something we don't already have, whether that's a novel technical specialty, an unusual background, or a way of thinking we haven't encountered. If you build things to understand them, we want to hear from you.","responsibilities":"Train, fine-tune, and adapt foundation models for novel applications
Experiment with emerging ML techniques and architectures
Build end-to-end prototypes that demonstrate ML capabilities in context
Create interactive experiences that communicate ideas across Apple and to the broader ML community
Collaborate with researchers to translate emerging techniques into working systems
Iterate rapidly based on critique, treating prototypes as questions rather than answers
Preferred Qualifications
Experience with LLMs: prompting, fine-tuning, RLHF, inference optimization
Experience reproducing results from ML papers
Familiarity with Apple platforms and frameworks (CoreML, Metal, SwiftUI)
Experience building native apps for iOS or macOS
Background in an R&D, research, or prototyping environment
Ability to work on ambiguous problems where the goal is learning, not shipping
Bias toward building-you'd rather make something to test an idea than debate it
Initiative to pursue ideas without waiting for direction
Eye for detail and craft in how you present work
Comfort communicating ML research to diverse technical audiences
Experience presenting at or attending ML conferences (NeurIPS, ICML, etc.)
Interest in AI education or open-source community building
Work you can share: models you have trained, systems you have built, ideas you have explored
Minimum Qualifications
Experience training or fine-tuning ML models (PyTorch, JAX, or MLX)
Strong understanding of ML fundamentals: model architectures, training dynamics, evaluation
Familiarity with current ML research landscape
Experience reading and implementing techniques from ML papers
Proficiency in Python and Swift; experience with C++ or Rust a plus
Track record of building complete, working systems rather than isolated components
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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