$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 ...
$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 ...
Charlottesville, VA · On-site
Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain ... This position will not sponsor applicants requiring a visa How to Apply Please apply online through ...
Charlottesville, VA · On-site
Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain ... This position will not sponsor applicants requiring a visa How to Apply Please apply online through ...
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 ...
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 ...
... 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 ...
... 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 ...
Milpitas, 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 ...
Milpitas, 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 ...
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 ...
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 ...
... 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 ...
San Jose, 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 ...
San Jose, 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 ...
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 ...
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 ...
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.
Quick apply
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.
$112K - $154K/yr
Own requirements data prep feature engineering classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) offline/online evaluation MLflow registry, with automated drift and quality alerts. * Data & Storage ...
$112K - $154K/yr
Own requirements data prep feature engineering classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) offline/online evaluation MLflow registry, with automated drift and quality alerts. * Data & Storage ...
Milpitas, 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 ...
Milpitas, 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 ...
Sunnyvale, 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 ...
Sunnyvale, 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 ...
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.
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.
$77K - $105K/yr
Proven mastery of modern AI/LLM workflows -- prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training ...
$77K - $105K/yr
Proven mastery of modern AI/LLM workflows -- prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training ...
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 ...
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 ...
... 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 ...
... 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 ...
$17.5K - $23.7K
12% of jobs
$28.2K is the 25th percentile. Wages below this are outliers.
$23.7K - $30K
18% of jobs
$30K - $36.2K
15% of jobs
The median wage is $37.1K / yr.
$36.2K - $42.4K
33% of jobs
$42.4K - $48.6K
12% of jobs
$48.6K - $54.9K
0% of jobs
$54.9K - $61.1K
0% of jobs
$61.1K - $67.3K
0% of jobs
$67.3K - $73.5K
0% of jobs
$73.5K - $79.8K
0% of jobs
$79.8K - $86K
9% of jobs
$17.5K
$40.6K
$86K
| 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.
Cities with the most Online Rlhf job openings:
The most popular types of Rlhf jobs are:
States with the most job openings for Online Rlhf jobs include:
The top searched job categories for Online Rlhf jobs are:
Sunnyvale, CA
$122K - $168K/yr
Full-time
Posted 26 days ago
7.4
Based on 7,177 frontline employees who took The Breakroom Quiz
We are looking for a Senior Inference Engineer to own inference for real-time multimodal
conversational AI. This is a full-stack inference role: you will work across the entire path a model
takes from research to production - shaping model architecture so it is servable, building the
real-time runtime that serves it within hard latency budgets, and building the offline systems
that train and reinforce it.
You will operate at the boundary of Science and Inference, taking frontier-scale speech and
audio models and making them run within real-time latency budgets on production hardware.
You will co-design architectures with scientists to make them inference-friendly from inception,
own the low-latency streaming serving path, and build the training and reinforcement-learning
infrastructure that closes the loop. You will have the compute, data, and runway to solve
problems that few teams in the world are positioned to tackle.
As a Senior Engineer, you will own a significant area of the inference stack end to end, drive its
technical execution, contribute to the team's roadmap, and work closely with scientists and
hardware partners to ensure our models run fast enough to feel human in real time - and at a
cost that makes them viable at scale
You may go deep in one of the areas below while
contributing across the others.
Key job responsibilities
Model Architecture & Inference Co-Design
Partner with research scientists to make model architectures servable from inception -
surfacing the latency, memory, and cost implications of architecture choices before they are
locked in
Implement and optimize the inference path for large-scale multimodal models - attention
and KV-cache mechanisms, multimodal/autoregressive decoding, and the compute
primitives on the critical path
Apply efficiency techniques across the stack - quantization (per-tensor/per-channel/per-
group, INT8/FP8/BF16), speculative decoding, operator fusion, and paged KV-cache - and
quantify their quality/latency trade-offs
Develop and tune high-performance kernels for critical operations where off-the-shelf
implementations leave performance on the table, integrating them into production serving
with minimal overhead
Profile end-to-end performance with tools such as Nsight Compute/Systems and roofline
analysis to identify and eliminate bottlenecks in large-scale inference workloads
Real-Time & Interactive Runtime
Own the real-time serving path for streaming multimodal conversational AI, meeting sub-
second, streaming latency budgets under concurrent session load
Build and tune continuous batching, scheduling, and preemption to balance throughput
against per-request latency SLAs for interactive workloads
Customize production serving frameworks (e.g., vLLM, PyTorch) for real-time streaming
generative models that fall outside standard LLM serving patterns - sustained low-latency
output under concurrent session load
Implement multi-GPU inference (tensor parallelism, collective communication) for latency-
critical paths, and drive cost toward parity with existing production baselines
Establish latency, throughput, and cost benchmarking, and publish the operational metrics
that gate deployment
Offline Systems: Training, RL & Evaluation Infrastructure
Build and scale the offline inference systems behind post-training - high-throughput rollout
generation and reward-model serving for reinforcement learning (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)
Work with the evaluation team to enable offline inference that captures the quality
dimensions unique to real-time conversation - latency sensitivity, audio quality, and
interaction naturalness
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
10,000+ Employees
Seattle, WA, US
