Senior Algorithm Engineer
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Job Description
About the Company:
TechSee is the leader in MultiSensory Generative AI.
TechSee has disrupted customer and field service industries. TechSee was the first company to bring remote visual support to the mass market with 8 patents on AI and augmented reality. Today TechSees multisensory generative AI can see hear and guide humans with visual instructions all delivered through a smartphone or PC.
TechSee has hundreds of customers including Vodafone Orange Hitachi and dozens of Fortune 500 companies. We provide the only AI in the service industry trained on massive datasets (think billions) of customer voice text and visual interactions to recognize patterns and identify the best way to resolve issues. TechSee is rapidly expanding globally and is backed by leading venture capital firms like Salesforce Ventures Scale Ventures and OurCrowd.
The opportunity:
We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role you will design develop and optimize stateoftheart visionbased algorithms that power our AIdriven solutions. You will work with largescale realworld data contribute to cuttingedge research and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
Design develop and optimize Computer Vision and Deep Learning algorithms for realtime AIdriven applications.
Work with largescale visual datasets to train test and validate models.
Research and implement stateoftheart machine learning techniques including object detection image segmentation scene recognition and 3D processing.
Enhance the efficiency accuracy and robustness of existing visionbased models.
Collaborate with software engineers data scientists and product teams to integrate algorithms into TechSees AIpowered platform.
Stay up to date with the latest advancements in Computer Vision AI and Generative Models.
Requirements:
5 years of experience in developing and optimizing Computer Vision algorithms.
Handson experience with Deep Learning architectures including CNNs Transformers and diffusion models as well as knowledge of classic machine learning and unsupervised learning techniques.
Expertise in image processing object detection segmentation and feature extraction.
Strong proficiency in Python and experience with frameworks such as TensorFlow PyTorch OpenCV and Hugging Face.
Experience working with largescale datasets and optimizing models for realworld applications.
Proven track record of developing and deploying realworld solutions using Deep Learning methods.
Familiarity with cloudbased AI deployment (AWS) and ML Ops toolsAdvantage.
Bachelor or M.Sc. in Computer Science Electrical Engineering or a related field.
Why work with us
At TechSee we encourage collaboration and emphasize success personal and professional development.
Career path: This role serves as a launching point into further leadership roles in the R&D team.
Training: Personal development programs and professional training. In addition learning TechSees marketleading AI and AR solutions.
Compensation: Solid base salary and incentives plan strong benefits and an ownership (equity) in a highgrowth SaaS venture.
Tools: Provide you with the resources needed to achieve your goals.
Work environment: TechSee is a hybrid work environment with frequent social activities.
Culture: TechSee is a fun and exciting place to work empowering its employees to bring outofthebox thinking to generate cool new ideas.
Success: TechSee has established a global presence trusted by Tier 1 enterprise customers across the telecom consumer electronics manufacturing insurance and many other industries. Our product is used by companies like TELUS Verizon HIPPO Lennar Vodafone Hitachi Samsung Heineken and more!
The company is headquartered in Tel Aviv with oces in Boston Chicago and DC.
As we continue to build a positive environment that has brought us this far we invite you to consider joining us in shaping the future of customer experience!
Join Our Team at TechSee! To apply please submit your resume
Employment Type
Full Time
