Full Job Description
Who is Wyze?
Come and be a part of what GeekWire calls a top 100 “most popular and trending” Pacific Northwest tech company at one of Built-in-Seattle’s “100 Best Places to work in Seattle 2021”
Wyze’s mission is to make great technology accessible to everyone because we believe that when great technology is accessible, curiosity thrives! Founded just over three years ago, Wyze started out as a smart camera company, has since branched out into the entire smart home ecosystem, and recently raised $15M in its latest funding round.
Our offices are based in Kirkland, WA, an outstanding city 10.3 miles east of downtown Seattle and nestled around beautiful Lake Washington! We also have offices in Beijing and Shenzhen, China!
At the announcement of the pandemic reaching US borders, Wyze employees quickly adapted to WFH setups and we, as well as any new hires, will continue to thrive from the safety of our homes until we can make a safe return to work in our new, COVID-conscious office space.
This role is based full-time in Kirkland, Washington and we are happy to help new folks relocate to this wonderful, tech-savvy city!
Why You Will Make an Impact:
If you are passionate about AI + IoT, our products and mission, and are passionate about applying your skills to solve customer problems in a fast-growing startup, this is the right opportunity for you. IoT is a perfect area for landing AI technologies, and Wyze provides the unique opportunity for landing AI technologies into products used by millions of users and is still growing at a fast pace. As a Data Scientist, you will help to solve a variety of technical challenges. Since this is an early-stage effort in a startup environment, you will play an active role in translating business requirements into elegant and beautiful solutions and dig into abundant service data and real user feedback to distillate business insights to facilitate our growth in partnership with other passionate people in the team. When you join the team, we guarantee that you will learn a ton, have fun and make a positive impact on millions of users. You will work with a team of highly skilled and motivated scientists and engineers, with the mission to build smart living for everyone, using machine learning and deep learning and solving problems in computer vision, sound detection, and speech recognition. As part of your job, you will collect the requirements, define the problems, design the algorithms, conduct in-depth data analysis and provide data-driven insights to drive our feature iteration and experience improvement.
A Look Inside the Role:
Help to invent and build AI data platforms for monitoring and understanding the performance of our AI production features, identifying growth potentials and facilitating data-driven decisions.
Collaborate with data engineers and software developers on building data pipelines to ingest, process and analyze data that are important to construct AI models.
Collaborate with product managers on AI feature engagement understanding and user experience improvement.
Be proactive in understanding and questioning the quality of the provided data. Provide ways to associate data distributed in different landscapes that is needed for building more advanced AI models.
Be proactive in diving deep on the strengths and weaknesses of production models, based on incomplete data through multiple channels.
You Already Have These Qualifications and Love What You Do:
MS or PhD in Mathematics, Statistics, Computer Science or related fields.
2+ years of experience working in data science in the AI/Machine learning domain to solve practical problems.
Knowledge and practices of designing data processing pipeline and statistical data analysis.
Experience managing complex data sources and ability to distill knowledge from unstructured data.
Proficiency with scripting language for managing large datasets, such as Python, R, SQL or Matlab.
AI/ML project experience and understanding of common ML algorithms.
And Even Better if the Following Applies to You:
Advanced knowledge with data sourcing, processing and modeling skills.
Skilled with big data analysis and visualization tools such as Snowflake, Databricks and Tableau.
Experience in working with large-scale distributed machine learning algorithms, frameworks, and systems.
Excellent written and verbal communication skills, ability to communicate effectively to both technical and non-technical audiences.
Ability to prioritize and strategize in a variety of project areas and deal with ambiguity in a fast-paced, entrepreneurial environment.
Solid experience in cloud platforms such as AWS, Azure or Google Cloud.
Wyze has a full benefits package through Premera Blue Cross. This includes Medical, Dental, Vision, Basic Life Insurance, Voluntary Life Insurance, EAP, Short-term disability, Long-term disability, FSA, and Daycare FSA. Employee premiums will be paid 100%, and 80% paid premium for dependents.
10 Holidays - 6 set holidays and 4 Floating Holidays for you to use however you choose
15 days of PTO every year
Additional Wyze anniversary vacation days
9 sick days/mental health days per calendar year
Principal 401k Plan - there is no company match at this time
Rosetta Stone reimbursement if you'd like to learn Mandarin
$50 a month reimbursed as a technology stipend - taxes apply
Wyze employee product perks: Wyze employees receive an array of our most loved products and services, as well as Wyze software services once they are launched. Employees also get a chance to participate in our beta program for unreleased products to help make
Wyze better for all!
Come Join Us!
If this sounds too good to be true and you are ready to be part of #teamwyze, then we want to hear from you! Please send us a cover letter that showcases some of the outstanding things you can do and how you feel they could apply to our vision and projects here at Wyze!
We will ensure individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at email@example.com.
Lastly, and exceptionally important to us: we are an equal opportunity employer and value diversity as well as inclusion here at Wyze. We are fully committed to providing equal employment opportunities for all employees and all applicants for employment. That’s how we do things!