…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.
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.
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.
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!)
Partner with peers and mentors to vet your ideas and move efficiently to working prototypes
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
Create exceptional documentation of your methods, solutions, and results
Adhere to software engineering best practices when it comes to source control, code review, automated testing, code reuse, portability, repeatability, etc.
Enhance our playbook of data science tools, libraries, and best practices
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
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)
Anyone can work from anywhere in the United States
Health Insurance Coverage
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.