AI Research Engineer
Palo Alto, CA · On-site
Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis. What Makes You a Great Fit * PhD in CS/AI/ML (or equivalent research experience) with ...
AI Research Engineer
Palo Alto, CA · On-site
Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis. What Makes You a Great Fit * PhD in CS/AI/ML (or equivalent research experience) with ...
AI Marketer/DevRel
Mountain View, CA · On-site
$21.50/hr
... online and offline initiatives. • Experiment with data-led marketing, A/B testing, and content ... Soul AI offers generative AI solutions for enterprises, focusing on RLHF and custom AI services.
AI Marketer/DevRel
Mountain View, CA · On-site
$21.50/hr
... online and offline initiatives. • Experiment with data-led marketing, A/B testing, and content ... Soul AI offers generative AI solutions for enterprises, focusing on RLHF and custom AI services.
... online experimentation. Personalization is a first-class objective on this team. You will build ... RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet, ListMLE ...
... online experimentation. Personalization is a first-class objective on this team. You will build ... RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet, ListMLE ...
... online experimentation. Personalization is a first-class objective on this team. You will build ... RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet, ListMLE ...
... online experimentation. Personalization is a first-class objective on this team. You will build ... RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet, ListMLE ...
Machine Learning Engineer - Reinforcement Learning
Fremont, CA · On-site
$150K - $250K/yr
Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and ... online RL pipelines). * Depth in deep learning, sequence modeling, and generative models.
Machine Learning Engineer - Reinforcement Learning
Fremont, CA · On-site
$150K - $250K/yr
Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and ... online RL pipelines). * Depth in deep learning, sequence modeling, and generative models.
... online experimentation. Personalization is a first-class objective on this team. You will build ... GRPO, DPO, RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet ...
... online experimentation. Personalization is a first-class objective on this team. You will build ... GRPO, DPO, RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet ...
... offline/online eval pipelines, agent simulations, data pipelines, backend services, and ... RLHF/RLVR evaluation) - enabling the next generation of AI-powered products, agents, automation ...
... offline/online eval pipelines, agent simulations, data pipelines, backend services, and ... RLHF/RLVR evaluation) - enabling the next generation of AI-powered products, agents, automation ...
... RLHF for long‑horizon agentic tasks. * Data‑driven decision making: Define AI evaluation as a ... Build online evaluation--A/B testing, production telemetry, user feedback loops, and anomaly ...
... RLHF for long‑horizon agentic tasks. * Data‑driven decision making: Define AI evaluation as a ... Build online evaluation--A/B testing, production telemetry, user feedback loops, and anomaly ...
... online learning and recommendation systems Experience working with machine learning or LLM model ... techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning ...
... online learning and recommendation systems Experience working with machine learning or LLM model ... techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning ...
Senior Inference Engineer, AGI
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Senior Inference Engineer, AGI
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Senior Inference Engineer, AGI
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Senior Inference Engineer, AGI
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Machine Learning Engineer - Reinforcement Learning
$150K - $250K/yr
Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and ... online RL pipelines). * Depth in deep learning, sequence modeling, and generative models.
Machine Learning Engineer - Reinforcement Learning
$150K - $250K/yr
Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and ... online RL pipelines). * Depth in deep learning, sequence modeling, and generative models.
(USA) Principal, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
(USA) Principal, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
(USA) Principal, Data Scientist
Fremont, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
(USA) Principal, Data Scientist
Fremont, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
Senior Inference Engineer, AGI
Sunnyvale, CA · On-site
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Senior Inference Engineer, AGI
Sunnyvale, CA · On-site
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
... and RLHF for long-horizon agentic tasks. With the aim of improving overall tools performance ... Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and ...
... and RLHF for long-horizon agentic tasks. With the aim of improving overall tools performance ... Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and ...
AI Tech Lead - Staff Machine Learning Engineer
Redwood City, CA · On-site
$125K - $165K/yr
Lead AI agent evaluation systems, including offline and online evaluation pipelines, golden ... Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation)
AI Tech Lead - Staff Machine Learning Engineer
Redwood City, CA · On-site
$125K - $165K/yr
Lead AI agent evaluation systems, including offline and online evaluation pipelines, golden ... Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation)
Senior Inference Engineer, AGI
Sunnyvale, CA · On-site
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
Senior Inference Engineer, AGI
Sunnyvale, CA · On-site
$122K - $168K/yr
... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...
(USA) Principal, Data Scientist
San Mateo, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
(USA) Principal, Data Scientist
San Mateo, CA · On-site
$143K - $286K/yr
Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...
... RLHF for long-horizon agentic tasks. With the aim of improving overall tools performance. Data ... Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and ...
... RLHF for long-horizon agentic tasks. With the aim of improving overall tools performance. Data ... Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and ...
Online Rlhf information
What is an online RLHF?
Online RLHF (Reinforcement Learning from Human Feedback) jobs typically involve helping to train AI models by providing human feedback on their outputs. Workers in these roles might review model responses, rate the quality of generated text, or suggest improvements to help the AI learn to produce better results. These jobs are often remote and can be done part-time or as contract work. They play a crucial role in improving the safety, usefulness, and accuracy of AI systems by aligning them more closely with human preferences.
What are some common challenges faced by online RLHF specialists when collaborating with cross-functional teams?
Online RLHF specialists often work closely with machine learning engineers, data annotators, and product managers. A common challenge is ensuring that feedback from human annotators is accurately integrated into model training, which requires clear communication and well-defined annotation guidelines. Additionally, balancing the pace of model updates with the need for high-quality human feedback can be demanding. Effective collaboration and regular syncs are essential to maintain alignment and achieve project goals.
What are the key skills and qualifications needed to thrive as an online RLHF specialist, and why are they important?
To thrive as an Online RLHF Specialist, you need a strong background in machine learning, reinforcement learning, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with technical tools like Python, PyTorch or TensorFlow, and experience with human feedback systems or annotation platforms are highly valuable. Strong problem-solving, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These qualifications ensure the effective training and evaluation of AI models, leading to more accurate and reliable machine learning systems.
What is the difference between Online Rlhf vs Online Rlhf?
| Aspect | Online Rlhf | Online Rlhf |
|---|---|---|
| Credentials | Typically requires certification in online health coaching or related fields | Typically requires certification in online health coaching or related fields |
| Work Environment | Remote, online platform-based | Remote, online platform-based |
| Industry Usage | Common in health and wellness sectors | Common in health and wellness sectors |
| Job Focus | Providing health guidance and support online | Providing health guidance and support online |
Online Rlhf and Online Rlhf are the same role, often used interchangeably. Both involve providing health and wellness support remotely, requiring similar certifications and working within the online health industry. The key difference is often in terminology rather than job function.
What are the most commonly searched types of Rlhf jobs in California?
The most popular types of Rlhf jobs in California are:
What are popular job titles related to Online Rlhf jobs in California?
For Online Rlhf jobs in California, the most frequently searched job titles are:
What job categories do people searching Online Rlhf jobs in California look for?
The top searched job categories for Online Rlhf jobs in California are:
What cities in California are hiring for Online Rlhf jobs?
Cities in California with the most Online Rlhf job openings:
AI Research Engineer
Palo Alto, CA • On-site
Normal Computing Corporation
Other
Re-posted 8 days ago
Job description
About Normal Computing
#J-18808-LjbffrNormal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.
We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.
Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.
Your Role in Our MissionWe’re hiring an AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You’ll design and run experiments, build agents, curate datasets from complex technical documents (e.g., chip specifications), and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Leadership not required—impact through research and building is.
Responsibilities-
Design and implement multi‑agent and RL approaches for agentic code generation and tool‑use.
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Build research prototypes that integrate with our agentic code generation tool; collaborate to productionize wins.
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Create evaluation suites: task specs, pass/fail checkers, coverage, cost/latency dashboards.
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Acquire and curate datasets from PDFs/logs/tables; generate synthetic data where appropriate; maintain data cards and licensing.
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Analyze experiments with disciplined ablations; document results and decisions.
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Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis.
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PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code.
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Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus).
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Demonstrated ability to turn research into working systems; reproducibility mindset (tests, seeds, configs, logging).
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Experience designing eval harnesses and success metrics for sequential/agentic tasks.
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Comfortable with data acquisition/curation from documents/logs; good instincts about data quality and licenses.
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Clear communicator who partners well with engineers.
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Research on program synthesis/codegen, constrained decoding, or execution‑based rewards.
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Experience with offline RL from tool traces or human corrections.
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Open‑source contributions (e.g., CleanRL, RLlib, AutoGen, LangGraph, CrewAI, Transformers).
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Familiarity with semiconductor/chip domains or other complex technical specs.
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Track record of shipping research to production and measuring impact.
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.