Delivery

Data Scientist - Computer Vision (Remote)

Preferable Location(s): Portland, United States of America
Work Type: Full Time

Come work at Synaptiq and help save the world’s coral reefs…             

…or improve infrastructure in Rwanda, or make banking more accessible to rural populations in Mexico, or help to reduce the risk of strokes and heart attacks. We choose to work on projects that matter.

At Synaptiq, we believe in building a better world for future generations through novel applications of machine learning and AI.          

Synaptiq might be the team you always wanted to be on because we have:    

  • A passion for solving problems that improve lives. 

  • The audacity to believe we can solve problems previously thought impossible.

  • The belief that AI is the natural path forward to solving world class riddles and a responsibility to be an ethical participant. 

  • A diverse and inclusive team where collaboration flourishes and the work has meaning and lasting impact.

If you bring this kind of mindset to the table, we want to hear from you… even if you don’t think you meet every requirement below. And we mean it.

As a Data Scientist with Computer Vision Specialization, you will:

Research, design, train and deploy computer vision solutions to meet the diverse needs of our customers. You will creatively overcome challenges presented by insufficient training data and other common obstacles.  

 

To Succeed, you will need to:

  1. Quickly learn each customer’s domain and ask insightful questions to fully understand the problem space before diving into the solution (sometimes, AI isn’t the answer, after all!)  

  2. Partner with peers and mentors to vet your ideas and move efficiently to working prototypes

  3. Keep abreast of the most recent advances in the field - from ground-breaking research to off-the-shelf commodity solutions, we strive to provide our clients with the right tool for the job without reinventing the wheel

  4. Create exceptional documentation of your methods, solutions, and results

  5. Adhere to software engineering best practices when it comes to source control, code review, automated testing, code reuse, portability, repeatability, etc.

  6. Enhance our playbook of data science tools, libraries, and best practices

We are looking for:  

Enthusiasm - you are high energy and exude palpable excitement for solving customer problems with AI-focused technologies

Intellectual curiosity - you hunger for knowledge and love learning new things. 

Adaptability - you enjoy wearing many hats

Entrepreneurial Spirit - we love thinking up new products and business models

Honest communication - transparent communication is the cornerstone of a successful project (and company)

Reliability - teammates can count on you to deliver what you say

Analytical mindset - we are engaged in data science, after all

Proactivity - you don’t wait to be told what to do - you recognize the need and take action

Creativity - tough problems require fresh and diverse perspectives

Persistence - data science is hard, you may fail many times before you succeed

High standards - you expect a lot from yourself, as well as from your teammates and the customer

Teamwork - we succeed or fail as a team

Coachability - you thrive on feedback and enjoy growing professionally

Humility - you can objectively challenge your own viewpoint, and appreciate it when others do, too

Desired Skills and Experience:

  • 3-5+ years of hands-on computer vision experience in a commercial setting (preferably in a customer-facing capacity)

  • Excellent Python chops

  • Skilled with the tools of the trade (OpenCV, PyTorch, TensorRT, Numpy, scikit-learn, Jupyter,  etc.), but always looking for better ways to deliver excellence

  • Familiar with cloud platforms and machine learning technologies for deploying models at scale (eg, AWS, Azure, GCP, Databricks, Sagemaker, Vertex AI, etc) 

We take care of our people:

  • Anyone can work from anywhere in the United States

  • Health Insurance Coverage

  • 401k Plan

  • Performance-based bonuses

  • Monthly internet stipend

  • Work-life harmony so you don’t have to ‘balance’ anything separately

  • Fun-loving, generous, and kind coworkers

  • Direct, honest, and transparent…always

  • Open-minded and curious, committed to embracing other cultures, customs, and experiences that bring out the best in all of us and allow us to achieve our greatest potential as a team

  • We are teachers and mentors to one another; committed to raising our collective AI game

We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

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