Senior Applied Scientist

| Kirkland
Who is Wyze?
Wyze is a tech startup based in Kirkland, WA.
We’re a team of innovators and tech geeks obsessed with making smart home products accessible to everyone. Our products are intuitive and easy to use, and we partner with our customers to add new features and continuously improve our products over time. We believe customers shouldn’t have to compromise – beautifully designed smart home products should enrich people’s lives and be something everyone can afford.
We launched our first smart home camera, Wyze Cam, in October 2017. We also sell Wyze Cam Pan, a pan & tilt camera.
What is this opportunity?
You are passionate about AI + IoT and our products and mission, and are passionate in applying your skills to solve customer problems in a fast-growing startup, then 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 which is still growing at a fast pace. 
A look inside the role:
If you are a strong applied scientist with a background in computer vision, and is passionate in applying your skills to solve customer problems in a fast-growing startup, then 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 with millions of users which is still growing at a fast pace. As an Applied Scientist, you will help solve a variety of technical challenges. Since this is an early-stage effort in a startup environment, you will play an active role of translating business requirements into elegant and beautiful solutions and build quick prototypes or proof-of-concepts 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, define the algorithms, conduct proof-of-concepts with stringent performance requirements (e.g., accuracy, speed, model size), perform offline and online testing, and push models to production. 

Responsibilities

  • Help invent, build and monitor the performance of state-of-the-art computer vision models for a variety of different tasks such as object detection, face recognition, pose estimation, event recognition, object tracking.
  • Collaborate with data engineers and software developers on building data pipelines to ingest, process and analyze data that are important to computer vision models.
  • Collaborate with software developers on how to productionize the models.
  • Be proactive in understanding and questioning the quality of the provided data. Provide ways to monitor the quality of the data that is needed for building computer vision models and mitigate noisy when necessary.
  • Be proactive in diving deep on the strengths and weaknesses of the models, continuously evaluating them and suggesting ways to quantify the patterns of errors that the models make.
  • Patent and publish findings in leading computer vision and machine learning conferences and journals.

Basic Requirements

  • PhD in CS or related fields.
  • 3+ years of experience working on using deep learning and machine learning to solve production problems.
  • Deep understanding of Computer Vision algorithms (Object Detection, Face Detection/Recognition) and ability to implement them in product-quality code using both existing toolkits and self-developed code.
  • Proficiency with at least one of the popular deep learning toolkits (PyTorch, TensorFlow, MXNet, DarkNet, Caffe, etc.)
  • Proficiency with Python or C/C++ and at writing production-read codes.
  • Excellent written and verbal communication skills, ability to communicate effectively to both technical and non-technical audiences.

Preferred Qualifications

  • Strong publication record in top CV/ML conferences or journals, such as CVPR, ICCV, ICLR, ICML, ECCV, NeurIPS.
  • Depth and breadth in state-of-the-art computer vision and machine learning algorithms.
  • Ability to prioritize and strategize in a variety of project areas and deal with ambiguity in a fast-paced, entrepreneurial environment.
  • Solid experience in AWS, Azure or Google Cloud.

Ready to be part of #teamwyze then please send us your resume or detailed Linkedin profile. We also love covers letters that tell us all the amazing things you can do!
Lastly and incredibly important to us: we are an equal opportunity employer and value diversity as well as inclusion at Wyze. We are fully committed to providing equal employment opportunity for all employees and all applicants for employment. That’s how we do things! 

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Location

No other city in the Puget Sound has as many waterfront parks and beaches. Vibrant neighborhood destination with dining and recreational activities.

What are Wyze Perks + Benefits

Culture
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Free access to TalkSpace and other mental health services through our insurance provider, Premera.
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Child Care Benefits
FSA Daycare plan
Generous Parental Leave
We provide up to 4 weeks of parental leave for the primary caretaker. Wyze also provides 4 weeks of leave for the secondary caretaker.
Flexible Work Schedule
Wyze provides employees with a flexible work schedule that includes Flexible start and end times.
Remote Work Program
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Annually, Wyze employees receive 15 vacation days, 6 paid Holidays and an additional day of vacation for every year that you have been employed at Wyze, uncapped!
Paid Holidays
Paid Sick Days
Employees receive 9 hours per year of paid sick leave.
Perks & Discounts
Casual Dress
Commuter Benefits
Stocked Kitchen
Fully stocked kitchen including unlimited snacks, coffee, tea, kombucha, you name it!
Some Meals Provided
Happy Hours
Happy hours are hosted Once per week.
Parking
We offer employees Free on-site garage parking.
Pet Friendly
Dog friendly daily.
Relocation Assistance
Home Office Stipend for Remote Employees
Monthly technology stipend for remote work.
Professional Development Benefits
Job Training & Conferences
Wyze offers employees professional development opportunities like the ability to attend job related conferences and seminars.
Diversity Program
Lunch and learns
Wyze hosts lunch and learn meetings called Wyze University once a quarter.
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