You will work backwards from advertiser needs-collaborating with product managers, scientists, and ... Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size ...
You will work backwards from advertiser needs-collaborating with product managers, scientists, and ... Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size ...
Senior AI Engineer
New York, NY · On-site
$114K - $157K/yr
Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to improve model alignment and task-specific performance * Architect and manage high-throughput, real-time data pipelines using Kafka
Senior AI Engineer
New York, NY · On-site
$114K - $157K/yr
Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to improve model alignment and task-specific performance * Architect and manage high-throughput, real-time data pipelines using Kafka
Senior AI Engineer
New York, NY · On-site
$114K - $157K/yr
Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to improve model alignment and task-specific performance * Architect and manage high-throughput, real-time data pipelines using Kafka
Senior AI Engineer
New York, NY · On-site
$114K - $157K/yr
Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to improve model alignment and task-specific performance * Architect and manage high-throughput, real-time data pipelines using Kafka
Senior AI / Machine Learning Engineer
New York, NY · Remote
$115K - $200K/yr
... management. * Provide technical leadership through design reviews, mentorship, and cross-team ... Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF)
Quick apply
Senior AI / Machine Learning Engineer
New York, NY · Remote
$115K - $200K/yr
... management. * Provide technical leadership through design reviews, mentorship, and cross-team ... Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF)
VP of Product, Research and Training Infrastructure
Livingston, NJ · On-site
$233K - $341K/yr
Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines ... managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.
VP of Product, Research and Training Infrastructure
Livingston, NJ · On-site
$233K - $341K/yr
Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines ... managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.
Senior AI / Machine Learning Engineer
New York, NY · On-site
$115K - $200K/yr
... management. * Provide technical leadership through design reviews, mentorship, and cross-team ... Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF)
Senior AI / Machine Learning Engineer
New York, NY · On-site
$115K - $200K/yr
... management. * Provide technical leadership through design reviews, mentorship, and cross-team ... Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF)
... managed platforms: Slurm, AWS PCS (Parallel Computing Service), SageMaker HyperPod - Experience with fine-tuning techniques: LoRA, QLoRA, RLHF, DPO, knowledge distillation, Quantization, KV ...
... managed platforms: Slurm, AWS PCS (Parallel Computing Service), SageMaker HyperPod - Experience with fine-tuning techniques: LoRA, QLoRA, RLHF, DPO, knowledge distillation, Quantization, KV ...
... self-managed on EKS, SageMaker endpoints, Sagemaker Hyperpod Serving), batching strategies ... RLHF/DPO, knowledge distillation, and efficient serving techniques (vLLM, TensorRT-LLM, Triton ...
... self-managed on EKS, SageMaker endpoints, Sagemaker Hyperpod Serving), batching strategies ... RLHF/DPO, knowledge distillation, and efficient serving techniques (vLLM, TensorRT-LLM, Triton ...
Deep, hands-on expertise with large language models - including practical fluency with LLM APIs, prompt engineering at scale, fine-tuning and RLHF concepts, context window management, retrieval ...
Deep, hands-on expertise with large language models - including practical fluency with LLM APIs, prompt engineering at scale, fine-tuning and RLHF concepts, context window management, retrieval ...
Familiarity with SFT, DPO, RLHF, or similar techniques. * Understanding of evaluation methodology ... GPUs, compute management, debugging common training failures. You don't need to be an infra ...
Familiarity with SFT, DPO, RLHF, or similar techniques. * Understanding of evaluation methodology ... GPUs, compute management, debugging common training failures. You don't need to be an infra ...
... self-managed on EKS, SageMaker endpoints, Sagemaker Hyperpod Serving), batching strategies ... RLHF/DPO, knowledge distillation, and efficient serving techniques (vLLM, TensorRT-LLM, Triton ...
... self-managed on EKS, SageMaker endpoints, Sagemaker Hyperpod Serving), batching strategies ... RLHF/DPO, knowledge distillation, and efficient serving techniques (vLLM, TensorRT-LLM, Triton ...
Required : • Deep, hands-on expertise with large language models -- including practical fluency with LLM APIs, prompt engineering at scale, fine-tuning and RLHF concepts, context window management ...
Required : • Deep, hands-on expertise with large language models -- including practical fluency with LLM APIs, prompt engineering at scale, fine-tuning and RLHF concepts, context window management ...
VP, Head of AIT Research
New York, NY · On-site +1
Partner with project leads to scope engagements accurately, manage research risk, and hit delivery ... Deep familiarity with LLM training pipelines, including fine-tuning, RLHF/RLAIF, and evaluation ...
VP, Head of AIT Research
New York, NY · On-site +1
Partner with project leads to scope engagements accurately, manage research risk, and hit delivery ... Deep familiarity with LLM training pipelines, including fine-tuning, RLHF/RLAIF, and evaluation ...
AI Engineer
Warren, NJ · On-site
... production. • Manage the model registry and lineage tracking to maintain governance and ... tuning, RLHF concepts • Agentic frameworks: ReAct, Tool-Augmented Agents, LangGraph, AutoGen ...
AI Engineer
Warren, NJ · On-site
... production. • Manage the model registry and lineage tracking to maintain governance and ... tuning, RLHF concepts • Agentic frameworks: ReAct, Tool-Augmented Agents, LangGraph, AutoGen ...
Principal AI Engineer
New York, NY · On-site
Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... DPO, RLHF) on curated trace data to name a few * Validate every optimization through A/B tests ...
Principal AI Engineer
New York, NY · On-site
Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... DPO, RLHF) on curated trace data to name a few * Validate every optimization through A/B tests ...
... managers without being a direct people leader. You will be expected to be an external leader ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
... managers without being a direct people leader. You will be expected to be an external leader ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
Gen-AI Data Scientist Lead
New York, NY · On-site
$140K - $180K/yr
... RLHF, and DPO • experience optimizing workflows that rely on rate-limited APIs • nice to have ... We also provide diversified asset management solutions and focused investment banking capabilities.
Gen-AI Data Scientist Lead
New York, NY · On-site
$140K - $180K/yr
... RLHF, and DPO • experience optimizing workflows that rely on rate-limited APIs • nice to have ... We also provide diversified asset management solutions and focused investment banking capabilities.
... managers without being a direct people leader. You will be expected to be an external leader ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
... managers without being a direct people leader. You will be expected to be an external leader ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
... managers to deliver AI-powered products that change how customers interact with their money ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
... managers to deliver AI-powered products that change how customers interact with their money ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
Applied Researcher I
New York, NY · On-site
... managers to deliver AI-powered products that change how customers interact with their money ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
Applied Researcher I
New York, NY · On-site
... managers to deliver AI-powered products that change how customers interact with their money ... RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in ...
Manager Rlhf information
See Edison, NJ salary details
$25.4K - $34K
9% of jobs
$34K - $42.6K
15% of jobs
$43.3K is the 25th percentile. Wages below this are outliers.
$42.6K - $51.2K
17% of jobs
The median wage is $54.1K / yr.
$51.2K - $59.8K
27% of jobs
$65.1K is the 75th percentile. Wages above this are outliers.
$59.8K - $68.4K
12% of jobs
$68.4K - $77K
8% of jobs
$77K - $85.6K
4% of jobs
$85.6K - $94.3K
3% of jobs
$94.3K - $102.9K
2% of jobs
$102.9K - $111.5K
2% of jobs
$111.5K - $120.1K
1% of jobs
$25.4K
$61.6K
$120.1K
How much do manager rlhf jobs pay per year?
As of Jun 30, 2026, the average yearly pay for manager rlhf in Edison, NJ is $61,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $70,900.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Rlhf jobs in Edison, NJ? The most popular types of Rlhf jobs in Edison, NJ are:
What job categories do people searching Manager Rlhf jobs in Edison, NJ look for? The top searched job categories for Manager Rlhf jobs in Edison, NJ are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 9 days ago
Amazon rating
7.4
Based on 6,911 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon's Sponsored Products and Brands is building the next generation of AI-powered advertiser controls that help millions of advertisers optimize their campaigns. We're looking for a Software Development Engineer II to join our Advertiser Controls team, where you'll design and build the bidding controls and recommendations that directly impact how advertisers create, optimize, and grow their business on Amazon.
In this role, you'll own the development of three critical platform capabilities. First, you will build the AI engineering infrastructure that enables our bidding systems-developing systems for model fine-tuning, reinforcement learning, model inferencing and preference optimization, while creating evaluation frameworks that ensure safety, reliability, and trust at scale. Second, you will interface agentic architectures that allow AI systems to work together seamlessly, including agent-to-agent communication protocols for discovery, negotiation, and task handoff, lifecycle management for agent sessions, and state management frameworks that persist context across multi-step workflows. Third, you will design and build experimentation systems that support multiple concurrent online experiments, accelerating our team's ability to test new bidding strategies and learn from real advertiser behavior.
As an SDE2, you'll work as an autonomous contributor. You will work backwards from advertiser needs-collaborating with product managers, scientists, and other engineers to understand business problems, then translating those into technical solutions. While you'll make independent decisions on implementation, you'll seek guidance from senior engineers and principals when facing complex architectural tradeoffs or ambiguous technical challenges where the business problem is clear but the path forward requires exploration.
The work you do will have direct, visible impact. This infrastructure will power the AI systems that help a small business owner optimize their first campaign and enable enterprise brands to manage millions in ad spend. You'll be building customer-facing products where your technical decisions translate directly into advertiser success and the products customers discover on Amazon.
Key job responsibilities
- Design and develop the Agentic platform using Gen AI/ML technologies to deliver low-latency, secure advertiser experiences
- Build scalable systems that process millions of data points and optimize for cost efficiency through resource utilization, token consumption, and memory management
- Develop conversational AI and natural language interactions for advertiser bidding guidance
- Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem
- Identify and eliminate root causes of operational issues with permanent fixes; proactively improve team operations, tooling, and processes
- Write high-quality, maintainable code with clear documentation
- Provide meaningful code reviews, mentor engineers, and train new teammates on system architecture and operations
What we're looking for:
- Passionate about Generative AI, Large Language Models, and their real-world applications
- Strong software engineering skills with experience in distributed systems and cloud technologies
- Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
- Track record of delivering innovative solutions that drive business impact
- Enthusiasm for staying current with the rapidly evolving AI landscape
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Strong technical fluency in Generative AI, including a deep understanding of large language models (LLMs), model fine tuning, prompt engineering, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size, latency, cost, and output quality).
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree or equivalent
- Experience developing, deploying and managing AI products at scale
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
In this role, you'll own the development of three critical platform capabilities. First, you will build the AI engineering infrastructure that enables our bidding systems-developing systems for model fine-tuning, reinforcement learning, model inferencing and preference optimization, while creating evaluation frameworks that ensure safety, reliability, and trust at scale. Second, you will interface agentic architectures that allow AI systems to work together seamlessly, including agent-to-agent communication protocols for discovery, negotiation, and task handoff, lifecycle management for agent sessions, and state management frameworks that persist context across multi-step workflows. Third, you will design and build experimentation systems that support multiple concurrent online experiments, accelerating our team's ability to test new bidding strategies and learn from real advertiser behavior.
As an SDE2, you'll work as an autonomous contributor. You will work backwards from advertiser needs-collaborating with product managers, scientists, and other engineers to understand business problems, then translating those into technical solutions. While you'll make independent decisions on implementation, you'll seek guidance from senior engineers and principals when facing complex architectural tradeoffs or ambiguous technical challenges where the business problem is clear but the path forward requires exploration.
The work you do will have direct, visible impact. This infrastructure will power the AI systems that help a small business owner optimize their first campaign and enable enterprise brands to manage millions in ad spend. You'll be building customer-facing products where your technical decisions translate directly into advertiser success and the products customers discover on Amazon.
Key job responsibilities
- Design and develop the Agentic platform using Gen AI/ML technologies to deliver low-latency, secure advertiser experiences
- Build scalable systems that process millions of data points and optimize for cost efficiency through resource utilization, token consumption, and memory management
- Develop conversational AI and natural language interactions for advertiser bidding guidance
- Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem
- Identify and eliminate root causes of operational issues with permanent fixes; proactively improve team operations, tooling, and processes
- Write high-quality, maintainable code with clear documentation
- Provide meaningful code reviews, mentor engineers, and train new teammates on system architecture and operations
What we're looking for:
- Passionate about Generative AI, Large Language Models, and their real-world applications
- Strong software engineering skills with experience in distributed systems and cloud technologies
- Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
- Track record of delivering innovative solutions that drive business impact
- Enthusiasm for staying current with the rapidly evolving AI landscape
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Strong technical fluency in Generative AI, including a deep understanding of large language models (LLMs), model fine tuning, prompt engineering, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size, latency, cost, and output quality).
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree or equivalent
- Experience developing, deploying and managing AI products at scale
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
About Amazon
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.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US