Offres d'emploi
Trouvez des postes près de chez vous, sur site, hybrides ou à distance.- Emplois similaires à : Remote Machine Learning Engineer II
Machine Learning Engineer, Data & Machine Learning (DML)
AmazonUnited States
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.The Amazon Web Services Professional Services (ProServe) t
Remote Machine Learning Engineer II
GrabJobsNew YorkAbout The Role Abnormal AI is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team.At Abnormal, we protect our customers against nefarious adversaries who are
Remote Machine Learning Engineer II
grabjobsUnited StatesAbout The Role Abnormal AI is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team.At Abnormal, we protect our customers against nefarious adversaries who are
Remote Machine Learning Engineer
grabjobsUnited StatesWe'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 mach
Remote Machine Learning Engineer
grabjobsUnited StatesYou will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety
Machine Learning Engineer | Remote
Crossing HurdlesNew YorkResponsibilitiesArchitect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.Collaborate closely with cross‑functional stakeholders to identify opport
Remote Machine Learning Engineer - Relevance & Learning Systems
grabjobsUnited StatesAbout Wizard Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.The Role We’re looking for a Machine Learning
Machine Learning Engineer, WWPS ProServe, Data & Machine Learning (DML)
AmazonArlingtonMachine Learning Engineer, WWPS ProServe, Data & Machine Learning (DML) Job ID: 10394704 | Amazon Web Services, Inc.Candidate must be a US Citizen with an active TS/SCI security clearance.Overview The
Remote Machine Learning Engineer
grabjobsUnited StatesWe'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 mach
Remote Machine Learning Engineer
grabjobsUnited StatesInterwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the
Remote Machine Learning Engineer
grabjobsUnited StatesOur story:The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to m
Remote Machine Learning Engineer
grabjobsUnited StatesFully Remote Position Preferred Locations:Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simpl
Remote Machine Learning Engineer
grabjobsUnited StatesAbout FinchWe believe every American household deserves access to counsel in life’s biggest moments. At Finch, we’re building the infrastructure to make justice radically more accessible. Our modern a
Remote Machine Learning Engineer
grabjobsUnited StatesThe Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engi
Machine Learning Engineer
Vannevar LabsNew YorkVannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built
Machine Learning Engineer
QuantcastSan FranciscoAt Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audien
Machine Learning Engineer
TensecSan FranciscoOrchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nati
Machine Learning Engineer
RedditUnited StatesReddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote
Machine Learning Engineer
HadrianUnited StatesHadrian - Manufacturing the FutureHadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x chea
Machine Learning Engineer
EntravisionUnited StatesAbout EntravisionEntravision is a leading global advertising, media and ad-tech solutions company connecting brands to consumers by representing top platforms and publishers. Our service portfolio ena
Machine Learning Engineer
YaskawaUnited StatesYaskawa America, Inc. - Drives & Motion Division is a U.S. corporation, created to provide Automation Solutions and Support to our customers in North America, Central America, and South America. Yaska
Machine Learning Engineer
Colgate-PalmoliveUnited StatesMachine Learning EngineerEstablished in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territor
Machine Learning Engineer
ENSCOUnited StatesFor more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.ENSCO prides itself in creating and
Machine Learning Engineer
Paramount Global ServicesUnited StatesMachine Learning Platform Lead Engineer, Training and InferenceTechnology Burbank Full-Time Fully Remote #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we'
Machine Learning Engineer
NYU Langone HospitalsNew YorkPosition Summary We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning i
Machine Learning Engineer, Data & Machine Learning (DML)
- United States
- United States
À propos
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
Key job responsibilities
Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of machine learning/statistical modeling data analysis tools and techniques
- Current, active US Government Security Clearance of Top Secret or above
PREFERRED QUALIFICATIONS
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
- Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks
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, VA, Arlington - 131,300.00 - 177,600.00 USD annually
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually
Compétences linguistiques
- English
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.