Machine Learning Engineer
AdobeSan JoseWe are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers.This role involves timely engineering, system development, ML model assessment, constructin...Show more
Machine learning engineer • sunnyvale ca
We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers.This role involves timely engineering, system development, ML model assessment, constructin...Show more
We're building the next generation of.AI agents live, learn, and operate.This is a high-impact role for a.AI infrastructure from the ground up.You'll work at the intersection of.LLMs, distributed s...Show more
We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks.This role will be critical in building, optimizing and scalin...Show more
We are seeking an individual to conduct advanced engineering in 3D perception and machine learning to address challenges in automated driving.The candidate will have the opportunity ...Show more
As humans, there are few things more exciting than meeting someone new.At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive.With tens of millions of users, hund...Show more
WHAT YOU DO AT AMD CHANGES EVERYTHING.At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded syst...Show more
Custom SoCs (System on Chips) are the brains behind AWS’s Machine Learning servers.Our team builds C++ & SystemC functional models of these custom-designed accelerator SoCs for use by AWS internal ...Show more
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world.SoC EMIR Engineer, you’ll cont...Show more
Antibody Machine Learning Graduate Student Internship Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an inte...Show more
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry.With an open SaaS platform that supports easy consolidation and...Show more
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Primary Skills: Machine Learning (Expert), Ad Platform (Intermediate), Microservices (Advanced), Algorithm Development (Expert), Big Data (Advanced).Pay Range: $80 - $95 Per Hour on W2.Join our Ad ...Show more
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you.We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to h...Show more
WHAT YOU DO AT AMD CHANGES EVERYTHING.At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded syst...Show more
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.Were a team of engineers, clini...Show more
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS.The Inferentia chip delivers best-in-class ...Show more
Description:* The Engineer is responsible for developing, implementing and maintaining technical software applications and provides a combination of technical and business leadership while being th...Show more
Help shape new Generative AIUX products for AWS customers.Our team builds Generative AIUX products that transform the way customers design.We are focused on the future of design driven development ...Show more
Description: Job Title Technology Lead | Machine Learning | Python.Develop, train, and optimize machine learning models using TensorFlow, PyTorch, Scikitlearn or similar and finetune Large Language...Show more
The average salary range is between $ 154,550 and $ 230,000 year , with the average salary hovering around $ 180,000 year .
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Description
We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers. This role involves timely engineering, system development, ML model assessment, constructing data pipelines, composing prototypes, evaluation, operationalization.
Looking for individuals skilled in classical and deep learning, able to build and implement ML solutions for production environments. If you thrive on delivering innovative customer features, adopting new technologies, and contributing to high-visibility projects, this role may be a good match. The atmosphere is dynamic, fast-paced, creative, collaborative, and data-centric.
What you’ll do
Contribute to the backend services supporting ML and Generative-AI functionalities.
Build, develop, implement, and evaluate machine learning models using classical and deep learning approaches, as well as GenAI.
Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
Analyze and improve efficiency, accuracy, scalability, and stability of AI-enabled workflows.
Stay current with the latest advancements in ML and AI technologies.
Guide and support junior team members to aid in the overall development of the ML team.
What you need to succeed
Required Qualifications:
Completed a degree in Computer Science, Machine Learning, or a related field.
5+ years of experience in machine learning engineering roles.
Strong software engineering skills, including version control, code review, and CI/CD practices.
Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker.
Experience in developing and deploying ML models in production environments.
Familiarity with cloud platforms (, AWS, GCP, Azure) for ML deployment.
Strong understanding of data structures, algorithms, and system development.
Strong leadership and team-building skills.
Excellent communication and presentation skills.
Familiarity with Generative AI technologies and applications is advantageous.
Familiarity with Retrieval-Augmented Generation (RAG) and other contemporary NLP methods is advantageous.
Having experience with MLOps practices and tools is advantageous.
Having a background in Recommendation Systems is advantageous.