Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)  Job ID: 2870539 | Amazon.com Services LLC
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Sr. Software Development Engineer (Sr. SDE)/Machine Learning Engineer (MLE) to play a pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!
Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!
So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together!
Key Job Responsibilities   Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
Responsible for the development and maintenance of key platforms needed for developing, evaluating, and deploying LLM for real-world applications.
Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.
Work closely with applied scientists to process massive data, scale machine learning models while optimizing.
A Day in the Life  As a Sr. SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVIDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high-quality software.
About the Team  Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation, and interaction with humans and with the physical world.
BASIC QUALIFICATIONS   5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability, and scaling) of new and existing systems experience
Experience as a mentor, tech lead, or leading an engineering team
PREFERRED QUALIFICATIONS   5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Nextera Robotics  is a fast-growing industrial robotics and AI company founded by MIT alumni. Nextera has an A-list client base including Dunkin Donuts, Tesla, Gilbane Building Co., and other Fortune 500 companies. Nextera graduated from Y-Combinator S20 and raised significant funding from top-tier investors to support it's mission of solving industrial automation.
Working at Nextera is a great opportunity for those who love to get things done. We are a fast-paced, highly technical organization. Our teams are kept small and agile to limit layers of unnecessary process. Autonomy is expected. Every engineer gets to see their work transition from ideas to high-value products. The work is challenging, but highly rewarding.
This is a perfect job for you if you are a strong programmer with versatile software development track record and a passion for AI and robotics.
What you will be doing:
Help build and maintain state-of-the-art machine learning models for use in robotics, construction, energy and telecommunications
Work with engineers and annotators to grow a bank of high-quality training data
Machine Learning Operations (MLOps)
Maintain and build cloud architecture for ML pipelines
Skills and Preferred Qualifications:
Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field
Proven academic or industry experience with machine vision, object detection, ViTs, or related technology
Excellent Python skills
Structured approach to problem solving, creativity, strong communication skills, leadership skills
Familiarity with MySQL
Nice to Have:
Back-end experience with popular frameworks, Django knowledge is an advantage
We will be very excited to learn more about you and welcome you to the Nextera Robotics team!

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Machine Learning Engineer
We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.

Responsibilities:
Design, develop, and implement machine learning models and algorithms
Analyze large datasets and extract meaningful insights
Collaborate with cross-functional teams to integrate ML solutions into existing systems
Optimize ML models for performance and scalability
Stay current with the latest advancements in machine learning and AI
Create and implement big data processing pipelines and architectures
Design and build scalable data infrastructure to support ML applications

Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, or related field
3+ years of experience in machine learning or AI development
Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
Solid understanding of machine learning algorithms and statistical modeling
Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
Proven ability to create and implement big data solutions from scratch
Comfortable setting up and managing distributed computing environments
Experience in designing and implementing data pipelines for large-scale data processing
Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
Strong skills in data modeling and database design for machine learning applications
Excellent problem-solving and analytical skills
Strong communication skills and ability to work in a team environment

Preferred Qualifications:
Experience in creating and managing real-time data streaming architectures
AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
Experience with AWS machine learning services
Proficiency in using AWS big data services
Knowledge of serverless architectures on AWS (e.g., Lambda)
Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
Understanding of AWS security best practices for machine learning and data processing workflows

What you’ll do day-to-day:
Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles

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The Company:
Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built  in our lifetimes , and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.
The Role:
In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.
For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.
At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.
Our Culture:
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots' performance.
Responsibilities:
Train, fine tune, and deploy visual and language foundation models across our stack
Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential
Skills Needed:
Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
Strong software skills
Full stack knowledge, ability to not only work on machine learning models in Python but also to spin up inference infrastructure, web UI, and perform database operations
General robotics knowledge & experience

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For over 30 years, we have been merging software engineering, mathematics, agility, research, and technology into a unique package. As a non-university research institution, we do not work for maximum financial gain but aim to contribute to a better world.
In our dedicated team of AI enthusiasts, we offer a position as:
Are you looking for an exciting career challenge? Do you want to be part of an innovative team that is passionate about the secure use of language models for demanding, customer-specific problems? Then this position might be perfect for you!
Our goal is to develop a flexible framework whose basic building blocks provide a solid foundation for rapid value creation for the highly individual problems and data of our customers. We place particular emphasis on the highest quality, data security, transparency, scalability, and sustainability. We aim to make a significant contribution to independence from non-European AI giants and to strengthen the digital future in Europe, especially in Austria, with responsible AI solutions.
Responsibilities:   Give space to your passion for developing AI-based systems and work on solutions that create real value.
Handle varied and exciting tasks with your problem-solving skills.
Contribute from conception to productive deployment of innovative AI systems.
Keep your expertise up to date in this rapidly evolving field.
Minimum Requirements:   A degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
At least 3 years of experience in a Data Science or Machine Learning Engineer role (focus on Natural Language Processing or Large Language Models preferred).
Good software development skills for backend solutions in Python.
Ideally, experience working with frameworks in Machine Learning, Deep Learning, and LLMs (e.g., PyTorch, Huggingface, LangChain).
Ability to explain and visualize complex issues clearly and enjoy communication.
Fluent German and English skills.
What We Offer:   A diverse range of tasks with the prospect of further development and team responsibility.
Flexible working hours without core time and the possibility of home office.
Excellent team atmosphere with regular events.
Professional and personal development opportunities.
The minimum salary is EUR 3,724.00 gross/month for 38.5 hours per week, according to IT-KV, depending on qualifications and experience. Overpayment is, of course, possible.

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Machine Learning Engineer, Amazon General Intelligence (AGI)  Job ID: 2870545 | Amazon.com Services LLC
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer (Sr. SDE)/Machine Learning Engineer (MLE) to play a pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!
Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!
So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together!
Key job responsibilities   Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.
A day in the life  As a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVIDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.
About the team  Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
Mission of the team:  We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction with humans and with the physical world.
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.
PREFERRED QUALIFICATIONS   3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Bachelor's degree in computer science or equivalent.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

AI/Machine Learning Engineer – TMT – Manager - Consulting

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your key responsibilities

You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Skills and attributes for success

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

To qualify for the role you must have

Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning

2-4 years of experience directly managing technical teams

Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends.

Strong skills in Python.

Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

Proven ability to design and implement machine learning solutions that enhance network performance and customer experience.

Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science.

Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics.

Knowledge of streaming video and audio technologies, including analytics and content recommendation systems.

Experience with multi-modal models, including vision-language models.

Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications.

Knowledge of regulatory and compliance considerations specific to the TMT sector.

Experience with real-time data processing frameworks (e.g., Apache Kafka).

Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure).

Experience with network optimization algorithms and techniques.

Knowledge of emerging technologies such as edge computing and IoT.

A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

Experience with MLOps methods and platforms such as MLFlow.

Experience with CI/CD and test-driven development.

Experience designing, building, and maintaining ML models, frameworks, and pipelines.

Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

Understanding of data structures, data modelling and software engineering best practices.

Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

Experience with containerization and scaling models.

Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

Willingness to travel to meet client obligations.

Ideally, you'll also have

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

Experience working with diverse teams to deliver complex solutions.

Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

Experience fine-tuning Generative AI models.

What we look for

You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.

You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.

You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $141,400 to $259,200. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $169,700 to $294,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Continuous learning:  You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you:  We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership:  We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture:  You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis.  If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Machine Learning Engineer Jobs in Oklahoma City

Sr Machine Learning Engineer Amazon General Intelligence Agi
March 10, 2025

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Machine Learning Engineer Amazon General Intelligence Agi
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Ai Machine Learning Engineer Tmt Manager Consulting Location Open
February 25, 2025

Quick filters

Top companies

Machine Learning Engineer Jobs in Oklahoma City

Sr Machine Learning Engineer Amazon General Intelligence AgiMarch 10, 2025

Machine Learning EngineerMarch 10, 2025

Machine Learning EngineerMarch 10, 2025

Robotics Machine Learning EngineerMarch 10, 2025

Machine Learning Engineer WmdMarch 10, 2025

Machine Learning Engineer Amazon General Intelligence AgiMarch 10, 2025

Ai Machine Learning Engineer Tmt Manager Consulting Location OpenFebruary 25, 2025

Quick filters

Top companies

Sr Machine Learning Engineer Amazon General Intelligence Agi
March 10, 2025

Machine Learning Engineer
March 10, 2025

Machine Learning Engineer
March 10, 2025

Robotics Machine Learning Engineer
March 10, 2025

Machine Learning Engineer Wmd
March 10, 2025

Machine Learning Engineer Amazon General Intelligence Agi
March 10, 2025

Ai Machine Learning Engineer Tmt Manager Consulting Location Open
February 25, 2025