Trabajos machine learning engineer en New York, NYCrear alertas

Basic Qualifications: Bachelor’s degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experienc...

Senior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, a...

Experience with Deep Learning including the latest architectures such as transformers testtime compute reinforcement learning. Machine learning is an integral part of almost every service at Stripe. Machine learning is core to Stripe Capitals businesswe use information about businesses from their...

Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems. Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development o...

We are looking for a Staff Machine Learning Engineer to join our Search team at Zocdoc! As a Staff MLE at Zocdoc you’ll balance your contribution as an applied Machine Learning Engineer with mentorship. Search team Machine Learning Engineers have the opportunity to work on our core Search product...

We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineer, you’ll work with clients to train ML models to satisfy their business needs. Having a deep curiosity about the hardest questions about L...

Has 4+ years of software engineering experience with 2+ years building machine learning systems at scale. This creates an urgent need to accelerate the build out of our machine learning capabilities. We are looking for an experienced Senior Machine Learning Engineer to join our growing team.

This position requires not only expertise in classical machine learning but familiarity with neural networks and large language models, along with strong intuitions in regards to testing detection systems in the presence of extreme class imbalance. Practical experience deploying machine learning ...

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learnin...

If you’re interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us!.

Machine Learning Research Engineer/Scientist.

Machine Learning Engineer, Generative AI, 3+ Years of Experience. Machine Learning Engineer, Generative AI, 3+ Years of Experience. We're looking for a Machine Learning Engineer to join our Generative ML team!.

Bachelor, Master, Post-graduate, or PhD in computer science, computing engineering, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience.

You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch, near real-time and online). ML Platfo...

Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc. Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles.

Strong expertise in machine learning frameworks and libraries (e. Machine Learning Engineer, GenAI Technology. Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.

Your expertise will contribute to the advancement of our organization's machine learning capabilities and drive innovation in our products and services. Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. We are seeki...

Machine learning is an integral part of almost every service at Stripe. Machine learning is core to Stripe Capital’s business—we use information about businesses from their activity within and outside of Stripe and our models to automatically underwrite uniquely tailored financing offers to thei

We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applicati...

Knowledge of supervised learning architectures (regression, decision tree, KNN, etc). Deep learning and neural networks. The Data & Intelligence team at Trumid is seeking candidates for a role at the intersection of data engineering, machine learning, and AI.

Deep Learning & Model Optimization:.

Lead Software Engineer - Applied AI & Machine Learning. Lead Software Engineer - Applied AI & Machine Learning. The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+...

As a machine learning engineer for Stripe Capital, you will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production with the goals of providing financing opportunities to as many users as possible while satisfying financial performance goals. Ma...

Very strong foundations in Computer Science, Data Structures and Algorithms. Architect, build and scale computer vision and multimodal capabilities to support video understanding use-cases within WBD. Ability to implement algorithms from state-of-the-art papers in the domain of computer vision (i...

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite, Req#3025164. Actively monitor deployed models and coordinate with the Senior Machine Learning Engineer to make necessary updates, ensuring the models’ continued performance and reliability. Prov...

We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. You’ll be a machine learning en...

This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equival...

As a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. Bachelor’s...

We are a remote-first, distributed team, with the option to work from the office in Brooklyn, New York.

You have hands-on experience with data analytics and data engineering. You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc. You are comfortable with data science as well as with the engineering required to bring you...

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Manager. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experi...

Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way. Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fi

Machine Learning Engineer, 3+ Years of Experience, Generative AI. We’re looking for a Machine Learning Engineer to join Snap Inc!. Strong understanding of machine learning approaches and algorithms.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

As the Staff Machine Learning Engineer for the DISCO Product Area, you will work with a cross-functional team to define and execute the Machine Learning technical strategy for the product area while working closely with a team of Engineering Managers, Staff and Senior Staff Engineers, who, with a...

You have a proven track record of using machine learning techniques to solve real-world problems, including expertise in fields such as natural language processing, image processing, reinforcement learning, deep learning, multi-modal learning, or large language models. We’re a cross-functional gr...

OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

The ideal candidate will have expertise in AI and ML concepts, DBMS and SQL, Machine Learning, Python, and NLP. Utilize machine learning techniques to analyze large datasets and generate actionable insights. Have extensive experience in machine learning techniques and their applications.

We are looking for a passionate Senior Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. In your role, you will be working in a team of passionate machine engineers a...

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. A Career with Point72’s Technology Team.

Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python. Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engine...

Senior Machine Learning Engineer, Disney+. As a member of this team, you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting-edge techniques that can be applied to recommendatio...

Engineering Group, Engineering Group >.Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform.Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices,...

As the Founding Software Engineer | Data Platform, Machine Learning, you will:. Build tools that enhance the productivity and data capabilities of our Data Scientists. Own our data infrastructure for extracting structured content from large-scale document ingestion pipelines using LLMs and other ...

The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust produc...

Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria. Influence the technical design, architecture, and infrastructure decisions to support new and ...

Basic knowledge of machine learning techniques (i. Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.