4519 machine learning jobs found

The ML Scientist III in Wayfair's Applied Research organization independently designs and implements sophisticated machine learning algorithms that empower systems to learn from data and generate predictions or decisions. This role involves advancing model development, meticulously fine-tuning algorithms, and deploying robust, scalable machine learning solutions to foster innovation and tackle intricate challenges across the company. You will apply a deep understanding of machine learning, experimental methodologies, advanced statistical analysis, optimization techniques, and probabilistic modeling. You will also mentor and share your knowledge with junior team members, collaborating with cross-functional teams, including engineering, product management, and business peers, to integrate these insights into company-wide decision-making processes and systems. You will be at the forefront of applying ML and artificial intelligence at Wayfair to solve complex, real-world business...

Homes.com - Senior Machine Learning Engineer Job Description CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.? We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and...

Rockfish Data, Inc. has a hybrid Senior Machine Learning Engineer position in Pittsburgh, PA (with the ability to telecommute with appropriate telecommuting systems; the remote worksite must be within commuting distance of Pittsburgh, PA for weekly trips to the corporate office) responsible for designing, developing, and deploying production-scale generative AI models to create high-quality synthetic data for enterprise customers across industries including observability, cybersecurity, and Internet of Things (IoT). Specific duties include: (i) serving as a technical lead for the Machine Learning engineering team, as well as providing technical direction and mentorship to ML engineers across product development and customer engagement initiatives; (ii) guiding architectural decisions, establishing best practices for model development and deployment, and leading code reviews and technical planning sessions; and (iii) designing and implementing end-to-end pipelines for data...

Employer: Leapfrog Technology Inc Job Location: Seattle, WA Job Title: Principal Engineer, Data Science & Machine Learning Pay Range: $156,138.00 to $161,138.00 per year Job Type: Full Time Travel: up to 10% to client sites International Travel: up to 5% to Nepal and/or India Job Duties: I. Solidify and scale the Leapfrog Data Science and Engineering Culture and Practice: Lead definition and implementation of data, data science, and machine learning competency definitions at every level, and align with recruiting initiatives. Manage the development lifecycle for data-centric projects using data to drive continuous improvements, with a strong focus on meeting the team's commitments given evolving business priorities and market/customer needs. lead the development of data-driven solutions, products and proofs of concept to acquire new business opportunities Drive ongoing improvement in functional excellence and best practices...

Location: Central Cambridge We are seeking a highly motivated Research Assistant/Associate in Machine Learning to join an interdisciplinary project at the University of Cambridge focused on machine-learning-guided antibiotic discovery. The successful candidate will work under the joint supervision of Professor José Miguel Hernández Lobato (Department of Engineering) and Professor Andres Floto (Heart & Lung Research Institute). The position forms part of a collaborative research programme aiming to define and predict the "permissive chemical space" for antibiotics in the pathogen Klebsiella pneumoniae, integrating high-throughput experimental measurements with state-of-the-art machine learning and generative AI approaches. The project brings together expertise in microbiology, chemistry, genomics, and artificial intelligence to develop predictive models and computational tools that guide the design of new antibiotics. The postholder will contribute to the development of...

Rockfish Data, Inc. has a hybrid Senior Machine Learning Engineer position in Pittsburgh, PA (with the ability to telecommute with appropriate telecommuting systems; the remote worksite must be within commuting distance of Pittsburgh, PA for weekly trips to the corporate office) responsible for designing, developing, and deploying production-scale generative AI models to create high-quality synthetic data for enterprise customers across industries including observability, cybersecurity, and Internet of Things (IoT). Specific duties include: (i) serving as a technical lead for the Machine Learning engineering team, as well as providing technical direction and mentorship to ML engineers across product development and customer engagement initiatives; (ii) guiding architectural decisions, establishing best practices for model development and deployment, and leading code reviews and technical planning sessions; and (iii) designing and implementing end-to-end pipelines for data...

The ML Scientist II in Wayfair's Applied Research organization designs and implements machine learning algorithms that enable systems to learn from data and make informed predictions or decisions. This role involves developing models, fine-tuning algorithms, and deploying scalable machine learning solutions to drive Wayfair's innovation and solve problems. You will apply a strong understanding of machine learning principles, experimental methodologies, statistics, and optimization in this position. Collaborating with cross-functional teams, including engineering and product management, you will integrate these insights into company-wide decision-making processes and systems, ultimately being at the forefront of applying ML and artificial intelligence at Wayfair to advance various business aspects through sophisticated machine learning techniques. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals,...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $96,130 - $181,944 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: Department Overview: Layer 6 is the AI research...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $96,130 - $181,944 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: Department Overview: Layer 6 is the AI research...

CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. What does that mean for you? You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You'll help change how goods get to market and contribute to global sustainability. You'll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through ourHybrid Work Model. Job Description Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating...

Working time: 37.5 hours per week Contract type: Fixed term (up to 36 months - Starting from 1st June 2026 and to end by 31st May 2029 - to complete specific time limited work) Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed to deliver resilient, interoperable and safe CO2 transport infrastructure in Europe? Carbon Capture Utilisation and Storage (CCUS) is a key element in the European strategy for carbon neutrality by 2050. The University of Leeds is part of a large consortium of 24 partners from 7 European countries, consisting of leading international universities, research organisations and leading international energy companies, including bp, EDF, Equinor and Shell, working to ensure a sustainable CCUS industry at scale. The overall goal is to ensure that the transport infrastructure is capable of handling CO2 streams at different...

UCC now wishes to appoint a Professor/Chair of Machine Learning to strengthen its Futures in AI and Data Analytics. The new Professor/Chair in Machine Learning will report to the Head of School of Computer Science and Information Technology and liaise closely with the Director of the Futures in AI and Data Analytics in respect to research. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/.   The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion of the process. Informal enquiries can be made in confidence to Professor Dirk Pesch, Email: dirk.pesch@ucc.ie For further information on the School of Computer Science and Information Technology is available https://www.ucc.ie/en/compsci/ University College Cork is...

job summary: Run machine learning tests and experiments. Bachelor's Degree or equivalent experience.     location: Smithfield, Rhode Island job type: Contract salary: $79 - 80 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Solid 5+ years hands on development as Machine Learning Engineer. Strong programming skills in Python and Java. Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning. Solid experience with developing python-based APIs needed (FastAPI / Flask). Design and develop machine learning and deep learning systems using ML (Machine Learning) algorithms / frameworks. Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.   qualifications: Work with data to create models and perform statistical...

#WeAreParamount on a mission to unleash the power of content you in? Weve got the brands, weve got the stars, weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter both for our audiences and our employees and aim to leave a positive mark on culture. Role Overview Paramount Streaming is building the next generation of personalization and discovery across global platforms. This role leads high-impact machine learning initiatives focused on optimizing the Paramount+ sign-up and Pluto TV registration flow. This position shapes how millions of viewers discover films, series, live sports, and news on Paramount+, Pluto TV, and our future streaming products.This is a highly visible technical leadership role facilitating innovation at the...

Senior Lead Machine Learning Engineer As 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. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and...

#WeAreParamount on a mission to unleash the power of content you in? Weve got the brands, weve got the stars, weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter both for our audiences and our employees and aim to leave a positive mark on culture. Role Overview Paramount Streaming is building the next generation of personalization and discovery across global platforms. This role leads high-impact machine learning initiatives focused on optimizing the Paramount+ sign-up and Pluto TV registration flow. This position shapes how millions of viewers discover films, series, live sports, and news on Paramount+, Pluto TV, and our future streaming products.This is a highly visible technical leadership role facilitating innovation at the...

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

#WeAreParamount on a mission to unleash the power of content you in? Weve got the brands, weve got the stars, weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter both for our audiences and our employees and aim to leave a positive mark on culture. Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior Lead / Principal Machine Learning Engineer to lead our ShortForm & Video Intelligence pod. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into "ShortForm" assetshigh-impact clips, "gists," and social-ready highlights. You will lead the development of the models that "watch" our content to identify narrative...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...

Sr. Director, Machine Learning Engineering (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how...