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  • Senior Data Scientist- Natural Language Processing/NLP

    Seattle, WA USA

    001 calendar 26 Jun 2020 Full time

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    In this role you will:

    Apply cutting-edge methods of NLP/NLU to learn and derive value from one of the world’s largest goal-oriented conversational data sets. Work on challenging unsupervised and semi-supervised problems related to intent and dialog management. Propose and execute research efforts integrated with production systems Design and build a modern, flexible NLU pipeline Develop measurement strategy, control methodology, and experimental design You should be an expert in:

    4-7 years’ experience in ML, specifically in NLU/NLP Masters or PhD in Computational Linguistics, Computer Science, Statistics, or Mathematics Knowledge of modern Deep Learning approaches to NLP Ability to write Python code that is efficient and clean Experience with scripting languages working in a Linux environment is a plus Ability to work closely with teammates in a highly collaborative environment, as well as providing strong individual contributions Experience with Python packages for Machine Learning (Scikit-Learn), NLP (SpaCy), and Deep Learning (Pytorch) NLP techniques to solve problems such as sentence summarization, question answering, sentiment analysis, knowledge extraction and conversational bots Experience with multilingual NLP systems a plus Research experience in NLP research or related fields, e.g. NLU, NLG, ASR/TTS and/or experience with dialogue systems Modeling to production and monitoring performance once completed Deep learning models with internal and external NLP datasets Machine Learning tools, models for Natural Language Processing applications, experimental design, research methodologies, qualitative and quantitative analysis Analyzing, problem-solving, communication, and critical-thinking skills

    Apply now
  • Senior Data Scientist

    Seattle, WA USA

    001 calendar 29 Jun 2020 Full time

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    Growing AI Security Startup Looking to Hire a Senior Data Scientist / Senior Machine Learning Engineer!

    This Jobot Job is hosted by Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary $140,000 - $160,000

    A Bit About Us

    Based in Seattle, we are a rapidly-growing startup that is building a revolutionary, AI-driven security analytics platform. We are very well-funded and we pride ourselves on the incredible culture that our organization is building. Our downtown office is currently looking to hire a Senior Data Scientist / Senior Machine Learning Software Engineer.

    Why join us? • Competitive Base Salary Between $140k and $160k! (there MAY be some flexibility here) • Attractive Equity Package! • $30k Bonus! • Exciting Work! • Accelerated Career Growth!

    Job Details • 2+ years of professional experience as a data scientist / machine learning scientist • Proven experience taking a model from idea to production • Strong Python or Spark skills • AWS background would be a big plus • Proven data science workflow experience • Solid deep learning background • Good neural networks skillset

    Apply now
  • Machine Learning Scientist

    London UK

    001 calendar 28 Jun 2020 Full time

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    Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you. We need exceptionally bright, talented, and driven people to delight our customers. If you'd like join the world’s largest online retailer, this is your chance to have fun and make history ! The role can be based in London, Barcelona or Luxembourg offices. The role is with Amazon Transportation Services (ATS), the middle mile between the fulfillment center and the final mile delivery center and the models being developed will be used to bring the required intelligence into operations using machine learning.As a Machine Learning Scientist, you will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating models, and collaborating with teammates in business, software, engineering and research. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis.

    Responsibilities Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support Directly contribute to the design and development of automated selection systems Build customer-facing reporting tools to provide insights and metrics which track system performance Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations

    Apply now
  • Software Engineer

    Bath England

    001 calendar 29 Jun 2020 Full-time

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    You will be responsible for developing high-quality applications, designing and implementing testable and scalable code. Candidates for this job are passionate for good software development and will be excited to help define the direction of software for Neuro Ai.

    Apply now
  • Product Manager

    New York USA

    001 calendar 1 Jul 2020 Full Time

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    Snackable AI is building the discovery engine for spoken word audio. Unlike the text-based web, audio lacks metadata and remains difficult to search. Moreover, formats are long and impossible to look inside, leaving users uncertain which content is relevant.

    The opportunity to solve this problem is tremendous, with voice growing to a $40 billion market in the next 2 years. Snackable’s proprietary AI technology derives meaning from audio, powering audio search and new, short-form “snackable” products. Snackable makes audio easy to discover and engage with across web, mobile and “voice-first.”

    Founded in 2018, Snackable has offices in New York City and Tallinn, Estonia. The company is shipping product and counts leading media companies like Slate as clients. Snackable has raised $3.1 million to date from leading US + Nordic media and AI investors like Greycroft, Amplify, Tera, Superangel, Jaan Tallinn and Richard Sarnoff.


    As the Product Manager, you will guide the success of our product. You will collaborate with the founding team to shape product direction. You will drive the delivery of the best product to our customers, aligning work across design, engineering and machine learning to achieve that. You will be the subject matter expert on our product and the voice of our customers. You’ll have tremendous and far reaching impact on our product and company.

    This position is based out of Snackable’s NYC office and reports to the CEO.

    WHO YOU ARE: • 5+ years of experience working as a product manager in a fast-moving startup environment • Passion for understanding user needs and pain points, segment macro and micro trends, and concepting and building products to deliver on these needs • Proven ability to deliver value to customers and revenue to company • Proven track record in planning, developing, and shipping products successfully by interfacing and collaborating daily with technical teams • Able to succinctly communicate user needs, business and technical requirements • Experienced with evaluating technical tradeoffs in order to inform the sequence of what features to prioritize • Prefer using data to drive decision making • Experienced with managing and building B2B products and creating pricing and packaging schemes that effectively communicate a new product’s value • Knowledge and exposure to machine learning systems • Owner mentality. Mature operator, self-motivated and technically strong • Highly organized, excellent communicator and able to coordinate work across geographically distributed teams with only high-level direction • Able to think big picture and pay attention to important details • Care deeply about efficiency, improving products, processes and teams • Thrive in a highly dynamic and entrepreneurial environment

    WHAT YOU’LL DO: • Define product direction alongside the founding team
    • Identify, define and prioritize features, backlog and customer requests • Manage product roadmap, releases and ongoing delivery • Drive agile, iterative, and user-centric product development processes • Develop effective and informative feedback loops from customers and partners • Attend customer meetings to extract feedback, issues and opportunities • Facilitate product discussions and decision making • Work closely with Design, Engineering, Machine Learning and Business Development to deliver features and enhancements • Communicate product value, strategy and status to internal and external stakeholders • Develop tools and processes to improve team efficiency and speed • Keep up with the changing audio landscape to develop market leading features for our product • Be the subject matter expert of our product • Deliver immediate impact on our product and measurable value to customers

    TECHNICAL SKILLS • Fluency in using product management and technical development tools: e.g. Jira, Productboard, Github • High level of comfort with collaboration tools, e.g. Notion, Miro, Figma • Knowledge of machine learning and natural language processing concepts • Technical undergraduate degree is preferred • Ability to read API documentation is a bonus


    At Snackable, we prioritize and invest in attracting and retaining the best talent. We reward our people with a highly competitive salary and a wealth of amazing benefits, including company equity, paid family medical, dental and vision insurance premiums and a 401(k) program. Our offices are part of the highly selective Company (NYC) and Lift99 (Tallinn) residence communities with likeminded startups and access to peer groups from product to sales to engineering.


    Interested? Please send your resume with a cover note to [email protected]

    Apply now

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