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  • Machine Learning Research Engineer 15 Feb 2021

    New York United States

    001 calendar 11 Jan 2021 Full-time

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    ob Description

    Who we are

    We are a community of Machine Learning Researchers and Engineers, working to help Twitter leverage ML through a range of systems such as recommendations, safety, abuse, content understanding, ads and more. We operate at scale whilst ensuring fair and ethical use of our models and data.

    We work collaboratively, often embedding among product teams, looking to apply the expertise of the individuals to improve our products and unlock new capabilities. We encourage publishing papers, but they are not the end goal, rather a by-product of us doing interesting work - the aim is to make a real-world impact!

    The Learning Methods Research Team, part of Cortex Applied Research, enables ML applications across our platform (e.g. recommender system, content / user understanding) to better use Twitter’s sources of data through recent ML methods such as deep learning on graphs or self-supervised learning. In this team, you'll be working closely with leading researchers and will have the opportunity to learn about the current state-of-the-art in ML, contributing to ambitious research projects based on the latest insights.

    What You Will Do

    Apply your research and engineering skills to bring ML research ideas to production, unlock large-scale rapid experimentation, and make sure existing tooling and infrastructure are used to their fullest potential throughout the research lifecycle. You will work closely with research scientists and product teams, learn to deliver ML solutions at scale within the Twitter tech stack, and contribute to the design of new systems and infrastructure to shape how ML is used across the business. Apply your wider experiences to provide perspective, and enable Twitter to benefit more rapidly from fundamental ML research. In addition, you will be directly contributing to research projects, strategic decisions and future roadmaps for products and technologies at Twitter.

    Who You Are

    You are excited about the challenges of deploying the latest ML technologies at scale and enabling research to go from idea to practical impact. You are passionate about the way we conduct research inspired by our products, our approach to develop state-of-the-art technologies, how we apply them to products, and enjoy the challenge of overcoming real-world constraints. You’re a diligent listener, have the ability to communicate technical issues to non-experts, and can persuade others to follow your recommendations. You have a solid understanding of core ideas in machine learning and software engineering, keep up-to-date with the latest developments in the field and look for ways to apply them in the real world.

    Apply now
  • Machine Learning Platform Engineer 15 Feb 2021

    Palo Alto, California United States

    001 calendar 11 Jan 2021 Full Time-time

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    At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

    We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let’s move the world forward, together.

    Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

    If you have a disability or special need that requires accommodation, please let us know by completing this form.

    About The Role Be part of the team building the industry leading, Palette Feature Store that was first introduced by Uber as a critical part of the Machine Learning (ML) lifecycle. Be part of the team that is making AutoTune hyperparameter searching of models mainstream by making it scalable and easy to use. Partner with peer teams in Uber AI to lay the foundation for building a new Feature Intelligence layer to enable automated feature engineering for models. Make the Michelangelo ML Platform scale to the next level by supporting feature serving at 10s of millis P99 at Millions of QPS. Ensure offline data processing and consumption scales with Billions of rows of data. Spearhead Feature Management infrastructure across the company by building, or partnering with Data teams.

    Basic Qualifications Bachelor’s degree in Computer Science or related technical field or equivalent practical experience Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#, or Javascript)

    Preferred Qualifications At least 5 years of software engineering experience

    Apply now
  • Data Scientist 15 Feb 2021

    Seattle United States

    001 calendar 11 Jan 2021 Full-time

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    About The Role

    If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum.

    Data Science Analytics Topics Include, But Not Limited To Product / Value Proposition design Customer Experience improvement Predictive Analytics (a number of customer-centric use-cases) NLP / Text mining to identify themes in customer feedback

    Basic Qualifications

    BASIC QUALIFICATIONS

    Masters Degree in Computers Science, Statistics, Machine Learning, or a related field. 5+ years of experience in Data Science and Analytics Strong hands-on skills in complex problem solving, programming and computer science fundamentals

    Preferred Qualifications

    Preferred Qualifications (any one or more):

    Advance degree (PhD) in Computer Science, Statistics, Machine Learning or a related field. Advanced knowledge of big data analytics technologies. Experience owning problem-solving end to end Strong business / commercial acumen Willingness to learn and stretch beyond comfort zones Excellent verbal and written communication skills to articulate complex analytics and findings to a broader audience

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us

    Company - Amazon.com Services LLC Job ID: A1343755

    Apply now
  • Field AI Engineer 15 Feb 2021

    Tokyo Japan

    001 calendar 11 Jan 2021 Full-time

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    Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.

    We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.

    Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.

    As a FAE, you will be working closely with Graphcore’s customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. In your work you will support some of the world’s top machine learning innovators at deep learning research groups, academic institutions, innovative machine learning start-ups, leading automotive companies, and some of the world’s largest cloud and internet companies.

    You will need to develop a deep understanding of the IPU architecture and the associated Poplar™ tools and be familiar with leading machine learning frameworks. We want you to become an industry thought leader on Graphcore technology and be interested and keen to present at industry conferences.

    The role will include product positioning and acting as a technical consultant to our key customers through architectural evaluation, integration of our technology into their designs and support through production deployment.

    RESPONSIBILITIES

    Own the technical relationships with our customers and partners and help them to exploit Graphcore’s IPU technology to achieve breakthroughs in artificial intelligence Be a technical expert on Graphcore’s products, directly supporting our Sales teams to secure design wins, and to lead hardware and software support of our products from the design-in phase through to successful completion and production deployment Become a recognized expert on Graphcore’s IPU technology and Poplar™ tools and deliver compelling training to our customers and partners Work with the Product Management and Engineering to ensure a good flow of customer and market feedback that can be incorporated into future products REQUIREMENTS

    4+ years of relevant experience writing applications for AI/ML workloads e.g. Computer vision, Natural language processing etc Bachelor's in engineering, Computer Science, Mathematics, Physics or similar field Experience working with modern deep learning frameworks including: Tensorflow, PyTorch, MxNet, Caffe, Caffe2 Good knowledge of software and CPU/GPU/AI accelerator architecture Excellent communication & presentations skills and comfortable in a customer-facing environment Action-oriented with strong analytical and problem solving skills Strong time-management and organisation skills for coordinating and prioritising multiple projects and initiatives. Desire to learn new technology DIFFERENTIATORS

    Masters or PhD in related computationally intensive science or engineering field Experience working in high performance computing or with hardware acceleration technologies Experience with Python and C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming Experience working to optimize scientific or computationally intensive application codes, libraries or compilers This position will be based in Japan and would require frequent travel to customer & partner sites.

    We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

    Apply now
  • Field AI Engineer 15 Feb 2021

    Palo Alto, California United States

    001 calendar 11 Jan 2021 Full-time

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    Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.

    We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.

    Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.

    As a Field AI Engineer, you will be working closely with Graphcore’s customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies.

    You will need to develop a deep understanding of the state-of-the-art in artificial intelligence & machine learning domains and work with our customers to develop new techniques which exploit the unique features of our IPU architecture. We want you to become an industry thought leader on Graphcore technology and machine learning applications in the cloud, in automotive and in embedded applications. You should be interested and keen to present at industry conferences and will be able to back this up with written blogs and compelling content.

    Responsibilities

    Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms using Graphcore’s IPU technology and achieve breakthroughs in artificial intelligence Support Sales teams as they engage new customers, understanding their AI challenges and describing how Graphcore’s technology can help Become a thought leader on machine learning and advocate for Graphcore’s IPU technology Work with the Product Management and Engineering to ensure a good flow of customer and market feedback that can be incorporated into future products Requirements

    4+ years of related experience ideally in Machine Learning, HPC or a math’s intensive engineering field Bachelor’s in Engineering, Computer Science, Mathematics, Physics or similar field Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe, Caffe2, Torch, and/or PyTorch, or a strong mathematics background and a keen interest to learn about these exciting new techniques Comfortable in a customer-facing environment and experience working with developers or researchers Ability to multitask effectively in a fast-paced environment Action-oriented with strong analytical and problem-solving skills Strong time-management and organization skills for coordinating and prioritizing multiple projects and initiatives Strong written and oral communications skills with the ability to effectively interface with management and engineering Strong team-working and excellent interpersonal skills Differentiators

    Masters or PhD in related computationally intensive science or engineering field Experience with C/C++, parallel programming and knowledge of computer architectures Experience working with PCIe form-factor accelerators such as GPUs, DSPs or FPGAs Experience in the cloud or automotive space This position will be based at our office in Palo Alto and could require frequent travel to customer & partner sites.

    We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

    Apply now
  • Senior AI Software Developer 15 Feb 2021

    Toronto, Ontario Canada

    001 calendar 11 Jan 2021 Full-time

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    POSITION SUMMARY

    As a Vector Senior AI Software Developer, you will provide technical leadership and contribute to developing and integrating reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest machine learning and AI researchers and provide guidance to AI Software Developers and data scientists and researchers at industry sponsors and healthcare institutions to apply AI.

    KEY RESPONSIBILITIES

    Provide technical leadership for applied research projects and AI/ML software development and integration projects following an agile methodology with teams that can include Vector AI developers, professional staff, researchers, industry sponsors and healthcare partners; Design and lead development of reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models; Design and lead development of open source software for applying AI research techniques to common problems; Mentor industry sponsors and healthcare partners on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues; Mentor researchers and AI software developers on software engineering and data science best practices; Lead the development of prototypes and proofs of concept; Report and present on software development including status and results; and, Other related duties as assigned.

    PROFILE OF THE IDEAL CANDIDATE

    Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred. Minimum of four years of experience in industry applying machine learning for data science or technology product development or equivalent; experience across industries considered an asset. Demonstrated experience as a technical lead for teams applying machine learning. Demonstrated experience in applying machine learning to problems deployed in production. Demonstrated experience in working closely with software engineers, data scientists and operations staff. Demonstrated experience developing software that is deployed in production. Demonstrated experience in data engineering working with messy real-world data. Demonstrated experience in operational considerations for deployment of deep learning. Demonstrated analytical skills to identify signal in data and feasibility of prediction. Strong knowledge and experience with Python. Experience in popular open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA). Experience with parameter and architecture tuning of deep learning algorithms. User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

    Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact [email protected] and we will happily work with you to meet your needs.

    Apply now

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