Filter by category

Filter by type

  • London
  • fulltime
  • -
  • Summary

    We are looking for a motivated and high-achieving Director of Engineering based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.

    We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.

     

    Roles and Responsibilities

    The Director of Engineering will lead the Product Group in causaLens. This is a high responsibility role in our company and has potential for a large impact. The product that you would be heading is important and market-changing.


    This position is suitable for an experienced engineering manager or an extremely talented and experienced team lead who wants to grow into an engineering management role.

    The application stack is composed of Python, Numpy, Scipy, Sklearn, XGBoost, Keras, Django, Celery, Postgres, Redis, Ansible, AWS, GCP, and other technologies.

     

    Job Requirements:

    • Academic background in Computer Science or a related quantitative field
    • Engineer:
      • Thorough understanding of computer systems at a broad level: data flow, distributed systems, numerical computing, frontend, web applications
    • Scientist:
      • Deep understanding of the broad fields of machine learning, statistics and mathematics. Attention to detail.
    • Product manager:
      • Capability to plan and execute complex and sizable projects
      • Prior experience building products is a plus
    • People manager:
      • Empathy and people skills
      • Experience in leading engineering teams is a plus

    Day-to-day responsibilities
    Broadly, you will be a combination of the following parts:
    Engineer
    :

    • You will be responsible for architectural and structural decisions, writing of specifications, design of APIs, etc.
    • You will have to review important, high-impact PRs, especially ones that have to do with data flow
    • You will occasionally write code for important, high-impact components

    Scientist:

    • You will keep the big picture view of the entire machine learning framework that combines a big variety of subsystems, techniques and technologies
    • You will design novel machine learning architectures and algorithms, and occasionally develop them
    • You will have to review important, high-impact PRs that have to do with AutoML, causal discovery, machine learning pipelines, metrics, etc.

    Product manager:

    • Run daily standup meetings with the team, assign tasks and manage deliverables
    • Interact with other parts of the business and our CEO and CTO in order to:
    • Discover new product opportunities
    • Target the roadmap 
    • Build long term roadmap for the product(s)

    People manager:

    • Have regular 1-1 check-ins with the team
    • You will ensure that the team is sufficiently trained
    • You will hire new members of the team

    What would my first 3 months look like?

    During the first 3 months, you would work very closely with Max (our CTO) to train for this role, establish processes and ensure a smooth transition to leading the team entirely by yourself.

     

    The Company

    causaLens is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise busineses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.

    causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.

    causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.

    We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.

     

    causaLens in the News

     

    Benefits

    • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
    • Competitive remuneration
    • Share option scheme
    • Pension scheme
    • 32 days paid holiday allowance (incl. bank holidays)
    • Equipment you need to get the job done (MacBook Pro etc.)
    • Good work-life balance
    • Opportunities for continued learning and self-development, including courses, conferences and book budget
    • Flexible work-from-home and remote days
    • Cycle to work scheme
    • Weekly journal club and knowledge sharing presentations
    • Regular team outings, pizza Thursdays and annual company retreats
    • Fruits, snacks and soft drinks in the office
    • Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm

     

    Logistics

    Our interview process consists of screening interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online. We will do our best to transparently communicate the process with successful candidates.

    You need to be logged in to apply. Login or create an account.
    Is this job ad fake? Report it!   


    other jobs at causaLens

    fulltime Data Scientist - Applied Science at causaLens in London
    02-09-2019
    fulltime Business Problem Solver (Jared) at causaLens in London
    06-09-2019
    fulltime Growth Analyst at causaLens in London
    26-09-2019
    fulltime Frontend Engineer at causaLens in London
    14-11-2019
    fulltime Research Scientist - Causality Expert at causaLens in London
    14-11-2019
    fulltime Quantitative Researcher at causaLens in London
    15-11-2019
    fulltime Research Scientist - Machine Learning at causaLens in London
    20-05-2020
    fulltime Product Manager at causaLens in London
    06-10-2020
    fulltime Principal Investigator at causaLens in London
    06-10-2020
    fulltime Director of Causality and Blue Sky Research at causaLens in London
    06-10-2020
    fulltime Talent Acquisition Lead at causaLens in London
    13-11-2020
    fulltime Director, People and Talent at causaLens in London
    02-12-2020
    fulltime Marketing Director at causaLens in London
    02-12-2020
    fulltime Account Executive at causaLens in London
    02-12-2020
    fulltime Market Development Director at causaLens in London
    02-12-2020
    fulltime Full Stack Engineer at causaLens in London
    10-12-2020
    fulltime Office Manager / Operations Assistant at causaLens in London
    08-01-2021
    fulltime Senior Frontend Engineer at causaLens in London
    29-01-2021
    fulltime Senior Full Stack Engineer at causaLens in London
    29-01-2021
    fulltime Content Marketer – Deep Tech at causaLens in London
    18-02-2021
    fulltime Talent Acquisition & Operations Associate - FTC at causaLens in London
    23-02-2021
    fulltime Senior UX Designer at causaLens in London
    23-02-2021