Twitch Jobs Remote With Experience UK
Job Name:- Applied Science
Hiring Organization: Twitch
Educational Requirements: Bachelor Degree
Salary: £30 – £40/Hour
Location: United Kingdom
DESCRIPTION
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide and Instagram channel to learn how to ace our interview process.
About the Role
Twitch is looking for a Director of Applied Science to lead our Community Discovery machine learning (ML) engineering and science teams, reporting directly to Twitch’s VP of Community Products Engineering. You will lead the development of next-generation recommendations and search systems using state-of-the-art ML techniques, you will launch and iterate new products that serve our community’s discovery needs, and you’ll oversee work from a world class team of engineers and scientists. You will apply your experience running organizations through scaled leadership to ship large projects with complex components at high quality. You will partner with product, design, and program leadership to deliver a vision to transform how Twitch’s creators build their communities through powerful discovery products.
You Will:
- Manage engineering and applied science teams to build and maintain quality software and models
- Champion tech best practices which balance operational standards with pace of innovation
- Collaborate with cross-functional peers to create roadmaps, set goals, and report progress
- Explain the complex technical work of your team to senior leadership and non-technical audiences
- Accelerate career development and nurture growing engineering and science talent
- Foster a work environment that is inclusive and welcoming to diverse perspectives
You Have:
- 2+ years of experience as an engineering or applied science manager at a similar scale company
- 6+ years of overall technical experience, with experience working on data-driven products with ML components
- Demonstrated team building skills, including coaching and motivating staff members to work together
- Experience shipping products and incorporating quantitative / qualitative feedback from customers
Bonus Points
- 4+ years of people management experience including managing managers
- Advanced degree in Computer Science, Machine Learning, Statistics, or a related field
- Experience with AWS and big data technologies
- Knowledge of recommendation or search algorithms and systems
- Experience with iterative, Agile development methodologies (including scrum)
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
- Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)
Top 10 Tips for Interview
- Keep your mind and body, relaxed.
- Never try to give a long answer to an interview question. Keep your answer short and effective.
- If you don’t know the answer to any question, do not try to mislead the interviewer because he knows everything. Here your answer should be just some simple words “Sorry Sir/Ma’am, I do not know the answer”.
- Your dress should be formal. The formal dress always leaves a good impact on the interviewer.
- Take permission from the interviewer before going inside the interview room by saying “May I come in Sir/Madam?”.
- Do not shake your leg and hand again and again.
- Your clothes should be neat and clean.
- If the interviewer asks the question in English/Hindi, you should answer in the same language. If you are not comfortable in that language, you should ask your interviewer “I am not comfortable in English/Hindi. Sir, Can I answer in ‘your comfortable language’”. Do not try to give the answer in which language you are not comfortable because in this situation. You would not be able to give your 100% in that language.
- How much time you will stay in the interview room, Do not be out of focus. Your focus should be on the interviewer. Do not miss any single word out of what he would be asking. Because if you do so, you will need to listen to that question again. And trust me, guys. This is a terrible impact. So try to understand and listen to the question properly at once.
- Before leaving the room. You should say ‘Thank you to your interviewer’.
