This is a hybrid role located at Wayfair's Boston, MA or Mountain View, CA Office. Wayfair's Recommendations team provides the core platforms and services that allow our customers to discover and buy the products they love by serving the right content to every customer on every touchpoint. It also allows our suppliers to surface their products to the right customer to showcase their inventory and build their brand. The Product Recommendations team is searching for a Data Science/Machine learning scientist to join our sort optimization team. This team works on multi-objective optimizations which strike the balance of showing popular products and showcasing sponsored products or brand-aware display ads in the product search and recommendations.

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink". More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel-related products and services. At the heart of our culture is a commitment of inclusion across race, gender, age, sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here.

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our services: Gradescope by Turnitin, iThenticate, Turnitin Feedback Studio, Turnitin Originality, Turnitin Similarity, ExamSoft, and ProctorExam. Turnitin has offices in Australia, India, Indonesia, Japan, Korea, Mexico, the Netherlands, the Philippines, Ukraine, the United Kingdom, and the United States. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Flagship Pioneering conceives, resources, and builds companies across both human health and sustainability. Flagship has created over 100 scientific ventures resulting in $200 billion in aggregate value, 500 issued patents, and 50 clinical trials, spanning Moderna Therapeutics, Generate Biomedicines, Indigo Ag, Tessera Therapeutics, and others. We harness science and entrepreneurialism to envision alternative futures, beginning with seemingly unreasonable propositions and navigating to transformational outcomes through an iterative, evolutionary methodology. We call this process "pioneering". We are looking for extraordinary computational scientists, engineers, and entrepreneurs to work alongside individuals within the Flagship Ecosystem focused on solving the most impactful challenges in AI across both human health and sustainability.

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. The Tripadvisor Data Science Team is looking for an exceptional experienced individual to help lead the design and building next generation systems to understand our travelers and products to improve customer experience. Such work will allow a significant improvement in our ability to offer to travelers the broadest, most relevant travel products (e.g., tell me the most family-friendly summertime activities in Paris).

We use state-of-the-art AI plus intuitive UI to eliminate useless paperwork and make the whole world go faster. Help us build amazing machine learning models that scale to terabyte-sized datasets, tens of thousands of simultaneous users, and reliably serve the biggest enterprises and software vendors in the world. We are already processing up to hundreds of documents per minute. But this volume grows exponentially and the scope of our product is only slightly slower. Our final goal is so far ahead that we won't hesitate to re-design everything a couple of times more.

The candidate will work within the technology team to develop, apply, and design novel machine learning (ML) algorithms with the ultimate aim of discovering therapeutic antibodies from next-generation sequencing (NGS) datasets. The candidate will be involved in multiple projects spanning our oncology, neuroscience, and infectious disease programmes. You will be responsible for the growth and development of our ML product roadmap. This will initially focus on exploiting methods in natural language processing for antibody discovery and patient stratification, and exploring the latest advances in ML (in areas such as self-supervised learning) to extend our capabilities. You will contribute new algorithms and strategies to increase accuracy, explainability, and/or automation of our technology platform.

Picsart is looking for a Machine Learning Scientist who is interested in developing cutting edge technologies for real-world computer vision problems. The Creative Intelligence team is mainly working on image effects and content generation. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.

Whether you're just starting out in the workforce, have lately been laid off, is concerned about retaining your present job, or have been momentarily furloughed and have some spare time, there's no better opportunity than now to learn some AI-related skills. Machine learning and AI employment have risen 74% over the last four years, according to LinkedIn. Data scientists and machine learning scientists are among the job titles in this area, but you're not alone in being puzzled about the distinctions between the two. The in-depth examination of enormous amounts of data housed in a company's or organization's archive is what data science is all about. This study includes understanding where the data originates from, assessing its quality, and identifying if the data will be used to assist future corporate development.

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. At Tripadvisor, we never stop learning. This is true both individually and as a company, where constant experimentation helps us to understand how we can continue to grow and improve the user experience for our 500 million unique monthly visitors worldwide. Data-driven decision making is at the core of what we do.