Deep Learning Engineer, Computer Vision

Job updated 5 months ago

Job Description

Rosetta.ai helps fashion e-commerce uncover consumers' shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.

We seek Deep Learning Engineers, dedicated to Computer Vision, to join our data science team. The ideal person will have industry experience in image recognition, feature extraction, and inference. The position will involve taking these skills and applying them to some of the most exciting and massive shopping data and prediction problems that exist on the web. You will bring the ability to own the whole ML life cycle, define projects, and drive excellence across teams.
      

Responsibilities:

    • Develop and implement computer vision algorithms and models for fashion products, including image recognition, object detection, feature extraction, inference, and scene understanding, etc.
    • Work closely with the product development team to ensure that models are optimized for production and can scale to meet client needs
    • Collaborate with other data scientists, data annotators, engineers, and stakeholders to identify new opportunities for applying computer vision technology to enhance our product offerings
    • Train and fine-tune deep learning models using large-scale image datasets.
    • Optimize the performance of computer vision models to achieve high accuracy and efficiency.
    • Evaluate and validate the accuracy and reliability of computer vision models.
    • Conduct research to identify the latest techniques in deep learning and computer vision and apply them to the products.
    • Stay up-to-date with the latest research and advancements in computer vision and deep learning.
    • Maintain high standards of code quality, testing, and documentation

           

      Benefits:
      • Healthcare (Medical, Dental, Vision)
      • Retirement savings or 401(K)
      • Paid time off (Annual)
      • Maternity/Paternity leave
      • Life insurance
      Perks:
      • Tuition reimbursement and training
      • Personal facilities (Laptop, Screen)
      • Free health screening
      • Free snacks and drinks
      • Open and creative environment
      • Irregular dinners/outings, happy hours
      • Extended annual time off
      • Paid time off to volunteer (Birthday, Menstrual, Funeral)
      • Flexible schedules and working time
      • Remote working optionally
      • Employee stock ownership plan (ESOP)

           

      Culture/6 Core Values:

      Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.

      Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our words. We exercise transparency within the company, our customers, and our community.

      Humility - We learn from everyone and everywhere, and we approach each new challenge knowing that we may not have all the answers.

      Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios that we purify the insights and forge the approaches.

      Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.

      Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.

          

      Location:

      Taipei City
      (Near Nanjing Sanmin MRT Station)

           

      Contact:

           

      Remarks:

      Rosetta.ai is an Equal Employment Opportunity employer. Rosetta.ai conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.

      Requirements

      [Minimum Qualifications]

      BACKGROUND & SKILLS:
      • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields.
      • 3+ years of experience in deep learning, computer vision, and image recognition.
      • Proficient in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
      • Strong programming skills in Python and familiarity with relevant libraries.
      • Experience with convolutional neural networks, object detection algorithms, and image segmentation.
      • Experience with image processing, object detection, and feature extraction techniques
      • Experience with large-scale datasets and data preprocessing techniques.
      • Experience with cloud-based computing environments and distributed computing.
        WORKING STYLE:
        • Strong problem-solving and analytical skills.
        • Strong communication skills and ability to work in a collaborative team environment
        • Flexibility and comfort work in a dynamic, team environment with a possible remote organization with minimal documentation and process.

             

        [Preferred Qualifications] (Optionally; the more, the better)

        BACKGROUND & SKILLS:
        • MS degree in Computer Science or related quantitative field with 2-3+ years of deep learning-related work or research, or Ph.D. degree in Computer Science or related quantitative field.
        • Knowledge of natural language processing and recommender system.
        • Proficient in programming languages such as C++.
        EXPERIENCES:
        • Experience with AWS/GCP cloud service.
        • Experience with Elasticsearch.
        • Experience with Redash.
        • Experience with MLflow.
        • Experience with Label Studio
        REPUTATIONS:
        • Publications in top conferences, including but not limited to ACL, EMNLP, CVPR, ECCV, RecSys, WWW, ICML, IJCAI, and AAAI.

          Interview process

          1. CV screening
          2. Culture fit interview
          3. Assignment project
          4. Professional interview
          5. Trial days
          2
          3 years of experience required
          960,000 ~ 1,200,000 TWD / year
          Optional Remote Work
          Personal Invitation Link
          This is your personal referral link for job invitation. You'll receive an email notification when someone applied for the position via your job link.
          Share this job
          People who applied for this job also applied for
          Logo of Rosetta.ai.

          About us

          Rosetta.ai is a SaaS company serving the ecommerce brands since 2016.
          🏆 2019 RecSys Reward
          🏆 2020 Forbes Top 25 Machine Learning Startups

          • Our clients care deeply about their shoppers and understand the value of unique online experiences.
          • We specialize in supporting fashion ecommerce clients in the apparel, accessories, and cosmetics verticals.
          • Our Customer-Intent Web App adds value to our client’s first-party data via automated preference analysis and onsite personalized recommendations.
          • The app is powered by AI and machine learning technology developed in house by industry leading engineers and fashion savvy marketers.
          • We are a young, fun, and diversified team that believes that company growth is driven by everyone’s growth. Together, from good to great — join us today! 

          Rosetta.ai 是一間多元、年輕且有遠景的軟體新創公司,於 2016 年創立便投入時尚電商領域,以美學 AI 為客戶打造一流的推薦系統,並與客戶一起成長,紮實的技術底蘊獲得海外創投青睞,正快速發展當中!
          在 Rosetta.ai 我們設計與開發一流的軟體服務,運用最新的 AI 與機器學習技術,協助客戶深入了解消費者的喜好與需求,將對的商品展示給對的人,打造獨一無二的購物體驗。
          我們相信公司成長是建立在每個人的成長上,與一流的人才一起工作、一起玩樂、一起成長,現在就加入我們!


          Team

          Avatar of the user.
          Co-founder & CEO
          Avatar of the user.
          Co-founder & COO
          Avatar of the user.
          Co-founder & CTO
          Avatar of the user.
          Business Development Manager
          Avatar of the user.
          ML Engineer

          Jobs

          Full-time
          ・
          Mid-Senior level
          ・
          1
          ・
          900K ~ 1.5M TWD / year
          Save

          Full-time
          ・
          Director
          ・
          1
          ・
          960K ~ 1.68M TWD / year
          Save

          Full-time
          ・
          Mid-Senior level
          ・
          1
          ・
          840K ~ 1.2M TWD / year
          Save