Trabajos machine learning en Renton, WACrear alertas

Proven experience building and deploying machine learning systems in a commercial setting. Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS. Senior Staff/Technical Lead Machine Learning Engineer.

Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participa...

Stealth is scouting for innovators on MeeBoss! 🚀 Follow MeeBoss on LinkedIn and be the first to jump on our hottest career opportunities!.We’re a Startup still in stealth — building the infrastructure enterprises use to run AI systems in production.Today, deploying AI inside large organizatio

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. PhD in Machine Learning or related ar...

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life ...

Strong publication record in Natural Language Processing, Machine Learning, Deep Learning or Reinforcement Learning at major conferences or journals. As an Executive Director on the Machine Learning Center of Excellence (MLCOE) team, you will be responsible for applying advanced machine learning ...

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Machine Learning Engineer or a similar role. Design machine learning systems.

Senior Machine Learning Engineer - Disney+. Senior Machine Learning Engineer - Disney+. As a Sr Machine Learning Engineer, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for help...

Join our Generative AI focus team to revolutionize Software Development at Amazon.Are you ready to be part of a team thats redefining the future of software engineering? Our team is Amazons ambitious initiative to pioneer AI development practices that will fundamentally transform how we build sof...

In this role, you will develop and execute a vision for the evolution of the machine learning technology stack for Ads Ranking, including Candidate Generation, Lightweight Ranker, Engagement Modeling, and Conversion Modeling. Develop state-of-the-art applied machine learning projects for ads rank...

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts ...

Experience in large scale machine learning. Principal Machine Learning Engineer - Prompt Engineering. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science.

Machine Learning Engineer II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI. Masters or PhD degree in Computer Science, Machine Learning, or related field. Experience with deep learning frameworks (PyTorch, TensorFlow, etc.

Good fundamentals of machine learning and deep learning. Scale machine learning algorithms to work on massive data sets and strict SLAs. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms.

This role is open to PhD New Grads or MS Grads with 1-3 years of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural N...

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life ...

Principal Machine Learning Engineer - Personalization. As a key member of this team, you will collaborate closely with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives. In-depth understanding of deep learning te...

Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems. Stay on the forefront of advancements in machine learning technologies, cloud services, and software engineering best practices with an eye t...

AIML - ML Engineer, Machine Learning Platform & Technology. Seattle, Washington, United States | Machine Learning and AI. You will work in a multi-functional team developing software to run innovative machine learning systems in the cloud and on devices.

Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field with a focus on speech or audio processing. Experience with fine-tuning, reinforcement learning, or reward modeling for audio quality optimization or speech preference modeling. You'll also receive b...

Continuous Learning and Improvement: Stay abreast of the latest developments in machine learning and advertising technologies to persistently drive innovation and improvement aligned with the teams objectives. Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) -2025 Start ...

TikTok is the leading destination for short-form mobile video.Our mission is to inspire creativity and bring joy.TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Creation is the core of TikTok's purpose.Our platform is bu...

Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Experience developing machine learning models for ranking, recommendations,

Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Familiar with GPU programming concepts using CUDA and with popular machine learning frameworks like PyTorch or TensorFlow. Familiar with fundamental deep learni...

Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical a...

Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc. Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation...

In this role, you will develop and execute a vision for the evolution of the machine learning technology stack for Ads Ranking, including Candidate Generation, Lightweight Ranker, Engagement Modeling, and Conversion Modeling. Develop state-of-the-art applied machine learning projects for ads rank...

Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. Design, implement, and scale critical machine learning models to support Snap's monetization strategies. Collaborate with cross-functi...

In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team. Lead the tech direction and responsible for the development of state-of-the-art applied machine learning projects for the ads co...

Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts. Proficiency and experience in applied statistical and machine learning fields e. We are looking for intelle...

Lead Machine Learning Engineer. Deep experience in foundational machine learning research and deployment at scale. We promote continuous learning, diversity, inclusion, work/life balance, collaboration, and transparency.

Experience with machine learning and deep learning algorithms, and text representation methods. Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision. Familiarity with deep learning frameworks like TensorFlow/PyTorch.

DFT Design Engineer, AWS Machine Learning Acceleration. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

As a Senior Machine Learning Engineer, you will build feature engineering pipelines by integrating with rich data sources, optimize model performance by exploring new techniques and algorithms, and ensure the quality of live production models. You will report to the Manager of Trust Machine Learn...

Machine Learning Engineering Manager, Intelligent System Experience. Expertise in SOTA large auto-regressive transformer models, multi-modal encoders, and representation learning.

You're an experienced (Senior/Staff) machine learning engineer with broad knowledge and skills.

Utilizing modern machine learning and computer vision techniques involving deep learning for object segmentation, detection, recognition, or generation. Leveraging deep learning frameworks including PyTorch or TensorFlow to build and experiment with computer vision and machine learning models. Bu...

You will translate research to design, building and deploying machine learning models for security use cases, leveraging generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges. BSc or Masters degree in Machine Learning, Data Science, C...

Hands-on expertise in Machine Learning models using R/Python, SQL, well-versed in statistical methodology including deep expertise and experience with statistical data analysis. Understanding of topic modeling, supervised & unsupervised machine learning.

Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. We are seeking highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team...

As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. ASIC Design Engineer, Cloud-Scale Machine Learning Ac...

Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Experience developing machine learning models for ranking, recommendations, ...

AIML - Sr Machine Learning Engineer, Data and ML Innovation. As a Sr Machine Learning Engineer on the team, you will build algorithms and data applications that leverage the power of data (real and synthetic) to improve model training efficiency and performance. Are knowledgeable in classic machi...

Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning. Build machine learning solutions to respond to and mitigate business risks in TikTok product...

Our team seeks a principal machine learning engineer to lead development of prediction or optimization engines for addressable ad platforms. The ideal candidate should have experience in machine learning technologies or data-driven algorithms, and be proactive, inquisitive, and innovative. Apply ...

Work at the intersection of engineering and AI by building tools that power machine learning across DoorDash. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders each day, supporting business-critical use cases like Ads, Grocerie...

Principal Machine Learning Engineer - Personalization. Principal Machine Learning Engineer - Personalization. As a key member, you will collaborate with Engineering, Product, and Data teams to apply advanced machine learning techniques for personalization initiatives.

You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP. Good machine learning (ML) fundamentals. Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP a...