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Applied Optimization Jobs in Elizabeth, NJ (NOW HIRING)

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

$260K - $382K/yr

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Staff Applied Scientist

New York, NY

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Applied Scientist II

New York, NY · On-site

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Applied Scientist II

New York, NY · Hybrid

$158K - $190K/yr

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Garner Health

Applied Scientist II

New York, NY · Hybrid

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Socket.dev

Applied Scientist II

Manhattan, NY · On-site

Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access ... Strong applied problem-solving skills, with the ability to define good metrics and then deliver ...

Capital One

Applied Researcher I

New York, NY

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very ...

Capital One

Applied Researcher I

New York, NY

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very ...

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All JobsApplied Optimization JobsApplied Optimization Jobs in Elizabeth, NJ

Applied Optimization information

See Elizabeth, NJ salary details

$16.1K

$56.2K

$102.7K

How much do applied optimization jobs pay per year?

As of Sep 15, 2026, the average yearly pay for applied optimization in Elizabeth, NJ is $56,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $73,000.00 per year, depending on experience, location, and employer.

What is the difference between Applied Optimization vs Data Analyst?

AspectApplied OptimizationData Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCorporate, manufacturing, logistics, or consulting firms focusing on process improvementBusiness, finance, healthcare, or marketing sectors analyzing data trends
Employer & Industry UsageUsed in industries requiring process optimization and resource allocationUsed across industries for interpreting data and supporting decision-making

Applied Optimization focuses on developing mathematical models to improve processes and resource use, often requiring specialized optimization skills. Data Analysts interpret data to identify trends and support strategic decisions. While both roles analyze data, Applied Optimization emphasizes mathematical modeling for operational improvements, whereas Data Analysts focus on data interpretation and reporting.

What jobs use applied optimization?

Applied optimization is used in roles such as operations researcher, data analyst, supply chain analyst, and industrial engineer. These jobs involve developing algorithms, modeling systems, and improving processes using mathematical and computational techniques to increase efficiency and reduce costs.

What are popular job titles related to Applied Optimization jobs in Elizabeth, NJ?

For Applied Optimization jobs in Elizabeth, NJ, the most frequently searched job titles are:

What cities near Elizabeth, NJ are hiring for Applied Optimization jobs?

Cities near Elizabeth, NJ with the most Applied Optimization job openings:

Applied Optimization jobs near you

Applied Scientist II, Sponsored Products Global Optimization

New York, NY

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

Full-time

Re-posted 27 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,182 frontline employees who took The Breakroom Quiz

Job description

Global Optimization is a strategic initiative aimed at improving Amazon advertisers experience at global scale. We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows at global scale.

You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
You will work backwards from the needs of advertisers-delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.
Key job responsibilities
- Design and build agents that improve advertisers experiences globally
- Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
- Design and implement optimization models that work at global scale taking into account nuances of multiple countries
- Innovate new science models to help advertisers scale their campaigns globally
- Curate datasets and tools for MCP


- Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.
- Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.
- Prototype and iterate on multi-agent orchestration frameworks and workflows.
- Collaborate with peers across engineering and product to bring scientific innovations into production.
- Stay current with the latest research in LLMs, RL, and agent-based AI, optimization and translate findings into practical applications.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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.
The Global Optimization team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns at global scale

At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon's retail ecosystem.
Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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