Machine Learning Research Scientist at Atomic

From the latest in Edge AI platforms to cloud-ready solutions, Paravision powers computer vision-centric solutions that deliver breakthrough capabilities in the most challenging conditions. We’re the top-ranked face recognition provider from the U.S., UK, and EU, delivering world-class capability with an ethical and customer-centric approach. In alignment with our company values, we hire people who are collaborative with a growth mindset, intellectually strong and curious, and energy accretive.

Our business is growing rapidly, and we seek a highly motivated Machine Learning, Research Scientist to join our world-class distributed technical team. This role will report directly to our Director of Machine Learning, and be an accelerant for the rapid growth Paravision is experiencing.


What You'll Do:

Design and code highly scalable, machine learning applications processing large volumes of image and video data.
Develop and implement state of the art algorithms for face detection, face recognition, face clustering and liveness.
Measure progress against industry standard benchmarks such as WiderFace, COCO, NIST-FRVT.
Collaborate with others in crafting and implementing your technical vision.
Follow agile processes with a focus on delivering production-ready testable code in small iterations.
Participate in the entire development lifecycle, from concept to release.
Participate in all phases of quality assurance and defect resolution.



What You Bring:

PhD in Computer Science or related field with research in machine learning.
3+ years of experience building machine learning or AI systems.
OR MSc in Computer Science or related field and 10 years software engineering experience in a related advanced technology environment.
Expert skills with machine learning software packages (e.g., PyTorch, MXNet, Caffe, scikit-learn, TensorFlow).
Deep understanding of mathematical foundations of Machine Learning algorithms.
Experience working with large datasets.



What You Have:

Excellent problem-solving, analytical and interpersonal skills.
Ability to work autonomously and willingness to roll up one’s sleeves to get the job done.
Polished communication style, both oral and written, and a comfort interfacing with various levels across the organization, with both technical and non-technical audiences.
Ability to manage multiple, competing priorities simultaneously.
A true passion for technology and thoughtful delivery of next-generation capabilities.



Bonus to Have:

Solid knowledge in state-of-art deep learning models and optimization methods.
Experience working with different types of Generative Adversarial Networks  (Style, Cycle, etc.).
Experience working with one of the major cloud services: AWS, GCP or Azure.
Prior computer vision or image processing experience.
Ability to independently conduct literature survey, find cutting edge heuristics or algorithms, and implement them in an engineering environment.
Experience with building Operations Research/Machine Learning algorithms and productionizing them at scale in a distributed computation environment.
Publication in peer-reviewed journals or conferences is a plus.



What You'll Get:

Competitive salary with meaningful equity compensation and excellent benefits.
The opportunity to work with a group of highly talented and equally nice people while making a huge impact.
Work-life flexibility - we value your contributions above all.
A professional environment with a focus on teamwork.




Paravision is focused on building a diverse and inclusive workforce, and we believe the more inclusive we are, the better our company will be. We are proud to be an Equal Opportunity Employer and consider applicants for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, age, or marital, veteran, or disability status, or other applicable legally protected characteristics.

We consider for employment all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. If you require assistance or accommodation during the recruitment process due to a disability, please let us know.