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Helper Aws Next Gen Stats Jobs (NOW HIRING)

Lila Sciences

Co-Op, Next Gen Engineering

Cambridge, MA · On-site

$18.25 - $23.75/hr

... helping improve our processes and methodologies. * Participate in additional engineering ... your skills to support the Next Gen Engineering team's goals. What You'll Need to Succeed

Motional

Senior Software Engineer, Next Gen Compute

Boston, MA · Hybrid

$133K - $175K/yr

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating ...

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How much do helper aws next gen stats jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for helper aws next gen stats in the United States is $19.02, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.88 per hour, depending on experience, location, and employer.

How does a Helper AWS Next Gen Stats professional typically collaborate with data engineers and software developers during a project?

A Helper AWS Next Gen Stats professional often works closely with data engineers and software developers to collect, process, and analyze large volumes of sports data in real time. Collaboration usually involves assisting in the deployment and monitoring of AWS-based data pipelines, ensuring data integrity, and troubleshooting issues as they arise. Regular communication and teamwork are essential, as you’ll frequently participate in sprint meetings, share updates, and help integrate new features or data sources into the system. This role provides a great opportunity to learn from experienced team members and develop technical troubleshooting skills in a fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as a Helper in AWS Next Gen Stats, and why are they important?

To thrive as a Helper in AWS Next Gen Stats, you need a foundational understanding of cloud computing, data analysis, and basic programming skills, often supported by relevant coursework or certifications. Familiarity with AWS tools (like Amazon S3, Lambda, and SageMaker), data visualization platforms, and possibly sports analytics systems is valuable. Strong problem-solving, attention to detail, and effective teamwork are crucial soft skills in this role. These skills are important for efficiently supporting data-driven sports analytics solutions, ensuring accurate insights and smooth collaboration within technical teams.

What is a Helper AWS Next Gen Stats?

Helper AWS Next Gen Stats typically refer to support roles that assist in the management, analysis, and reporting of advanced statistics generated by AWS (Amazon Web Services) for the Next Gen Stats platform, commonly used in sports analytics. These roles involve working with large datasets, maintaining cloud infrastructure, and providing technical support to ensure accurate and timely delivery of statistical insights. The job may also require collaboration with data scientists and engineers to implement new features and improve data quality. Strong technical skills in AWS, data processing, and troubleshooting are usually important for this position.

What is the difference between Helper Aws Next Gen Stats vs Helper Aws Cloud Support?

AspectHelper Aws Next Gen StatsHelper Aws Cloud Support
CertificationsAWS Certified Cloud Practitioner, AWS Certified Data AnalyticsAWS Certified Solutions Architect, AWS Certified SysOps Administrator
Work EnvironmentData analysis, sports analytics, cloud data servicesTechnical support, troubleshooting, cloud infrastructure
Industry UsageSports, media, analytics companiesIT, cloud service providers, enterprise IT

Helper Aws Next Gen Stats primarily focuses on analyzing sports data and providing insights using cloud analytics tools, while Helper Aws Cloud Support handles technical support and troubleshooting for AWS cloud services. Both roles require AWS certifications but differ in their core functions and industry applications.

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Helper Aws Next Gen Stats jobs near you
Infographic showing various Helper Aws Next Gen Stats job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $39,561 per year, or $19 per hour.

Sr. Software Engineer- AI/ML, AWS Neuron Apps

Amazon

Seattle, WA

$139K - $183K/yr

Full-time

Re-posted 21 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,089 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Shape the Future of AI Accelerators at AWS Neuron
Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.
What You'll Impact:
Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen
Optimize breakthrough language and vision generative AI models
Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration
Drive performance benchmarking and tuning that directly impacts millions of inference calls globally
Key job responsibilities
You will drive the Evolution of Distributed AI at AWS Neuron
As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale.
Technical Impact You'll Drive:
Spearhead distributed inference architecture for PyTorch and JAX using XLA
Engineer breakthrough performance optimizations for AWS Trainium and Inferentia
Develop ML tools to enhance LLM accuracy and efficiency
Transform complex tensor operations into highly optimized hardware implementations
Pioneer benchmarking methodologies that shape next-gen AI accelerator design
What Makes This Role Unique:
Direct influence on AWS's AI infrastructure used by thousands of ML applications
Full-stack optimization from high-level frameworks to hardware-specific primitives
Creation of tools and frameworks that define industry standards for ML deployment
Collaboration with both open-source ML communities and hardware architecture teams
Your Technical Arsenal Should Include:
Deep expertise in Python and ML framework internals
Strong understanding of distributed systems and ML optimization
Passion for performance tuning and system architecture
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance

It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members

We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
About the team
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware

Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.

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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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