AI Machine Learning Engineer 人工智慧機器學習工程師

Job updated 8 days ago
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Job Description

AI Machine Learning Engineer

We are seeking a talented and innovative AI Machine Learning Engineer to join our fashion styling startup, where you will play a crucial role in building cutting-edge AI models that leverage generated foundational models to revolutionize the fashion industry. As part of our team, you will have the opportunity to apply your expertise in machine learning to develop personalized styling solutions that cater to individual preferences and fashion trends. This can be a full-time, contract-to-hire, part-time, or internship position who works remotely internationally.

Taelor is an award-winning startup that offers menswear rental subscription services in the U.S. Our mission is to help people achieve their goals by bringing out the best in themselves and saving the environment. https://taelor.style

  1. AI Model Development: Utilize AI foundational models, such as GPT-4 or similar, as a starting point to rapidly build AI models specific to fashion styling. These models should understand and interpret fashion-related data, including clothing items, accessories, trends, and customer preferences.
  2. Data Collection and Preprocessing: Work closely with our data team to collect, clean, and preprocess diverse fashion-related datasets. Ensure data quality and relevance to train robust and accurate AI models.
  3. Algorithm Design and Implementation: Design and implement novel machine learning algorithms that enable personalized fashion recommendations and styling advice based on user inputs, historical data, and real-time fashion trends.
  4. Model Training and Optimization: Train and fine-tune AI models using state-of-the-art machine learning techniques. Optimize model performance, generalization, and efficiency to deliver fast and accurate fashion styling recommendations.
  5. Integration and Deployment: Collaborate with our engineering team to seamlessly integrate AI models into our fashion styling platform. Ensure reliable and scalable deployment of AI solutions to meet the needs of a growing user base.
  6. Performance Monitoring and Maintenance: Continuously monitor the performance of deployed AI models and apply updates and improvements as needed to ensure the highest level of accuracy and user satisfaction.
  7. Stay Updated with Industry Trends: Keep up-to-date with the latest advancements in machine learning and fashion technology to incorporate cutting-edge methodologies into our AI solutions.

Requirements

  1. Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A specialization or relevant coursework in machine learning or artificial intelligence is preferred. (for interns, student of Bachelor's or Master's degree)
  2. Proven Experience: Hands-on experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and computer vision domains.
  3. Programming Proficiency: Proficient in Python and experienced with popular machine learning libraries and frameworks such as TensorFlow, PyTorch, or similar.
  4. Problem-Solving and Independence: Strong logical thinking, analytical, and problem-solving skills with the ability to design innovative solutions. Capable of working independently and proactively without detailed instructions.
  5. Growth Mindset and Team Collaboration: Open to feedback and eager to improve by incorporating it. A strong team player able to collaborate effectively with cross-functional teams, including data scientists, software engineers, and designers. Comfortable taking on diverse roles in a dynamic startup environment.
  6. Communication Skills: Excellent verbal and written communication skills in English to convey findings, ideas, and recommendations clearly to both technical and non-technical stakeholders.
  7. Time Management and Initiative: Demonstrated ability to manage time effectively and take initiative in a fast-paced environment with frequent iterations, including remote collaboration.
  8. Specialization: A focus or prior internship experience in machine learning or artificial intelligence.
  9. Generative AI Expertise: Familiarity with generative AI models is a significant advantage.
  10. Creativity: A creative mindset to think outside the box and develop innovative approaches to solving fashion styling challenges.

Join our dynamic team to make a significant impact on the fashion industry by leveraging the power of AI and machine learning to transform the way people discover and express their personal style. Apply now and be a part of revolutionizing the world of fashion!

Interview process

Founder, AI Engineer, Scrum Team (PM, Software Eng etc.)

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About us

汰樂AI:矽谷最受矚目的 AI 造型師選衣的男裝租賃共享平台 

🚀汰樂的願景是讓人人都能更有自信、世界更永續。獲選為美國商業週刊矽谷最受矚目的新創之一。 

⭐️ 明星投資人背書。國發基金、Goodwater Capital(全球最大消費科技創投,投資 Twitter、Spotify)、Bling Capital(由 Google 早期成員創辦,投資 Lyft、Instacart)、YouTube 創辦人、吉他英雄創始人、Hello Kitty 早期投資人,累計投資超過 20 家獨角獸

💵 高速成長的營收與市場機會年營收18 個月內增長 10 倍 

目標五年內達 600 億台幣營收,實現獨角獸美國上市出場

🚀賽道:高成長、大市場AI 應用(年成長 37%):汰樂透過獨特數據與工研院合作建置高壁壘 AI,在史丹佛大學等超過 10 個美國 AI 新創比賽獲得世界前十。ESG 永續時尚(年成長 19%)、循環時尚(年成長 23%,Nuuly 四年內成為獲利獨角獸)、共享經濟(年成長 32%)懶人經濟(年成長 50%)

👨‍💼 消費端:市場大,需求清晰針對 美國單身男、業務、主管、老師、律師 等社交活躍、支付能力強但不想花時間研究穿搭的族群,提供 AI 選衣、租賃,讓用戶 穿幾週→免洗退回→換新衣,不用逛街、免洗衣服。從服飾租賃開始,打造 美國男性的一站式管家。

🙎🏻‍♀️ 創辦人:矽谷與財星百大企業資深專家,兩位 擁有 15 年經驗的芝加哥大學 MBA 女性創業家 創立。「矽谷阿雅」:美國西北大學講師,曾協助 Meta 創立 Facebook 電商,擔任 eBay 新興市場產品長、麥當勞全球數位資深總監,獲女性科技人 40 Under 40 等30個美國科技大獎。另一位創辦人曾擔任 Pre-IPO 企業營運長、財務長,管理 星巴克、美聯航、新航及亞馬遜無人超市營運。

Taelor is a sustainability-focused company that leverages Gen AI to solve one of the world’s biggest challenges: reducing inventory waste. We achieve this by offering an AI stylist and a menswear rental subscription service, helping busy men look sharp without the need to purchase clothes.

With 10x growth, Taelor is backed by leading investors, including Goodwater Capital (investor in Facebook and Spotify), Bling Capital (early backer of Lyft), and YouTube’s founder. A graduate of 500 Global and Draper accelerator programs, Taelor is a women-founded company led by experienced leaders who have spearheaded innovations for Meta, eBay, Target, McDonald's, Starbucks and Amazon.

Taelor was named Most Innovative Startup to Watch in the Bay Area by Business Journal and San Francisco Times, The Best Men’s Clothing Subscription Box by GQ, winner of Tim Draper’s Draper University startup competition and another 10+ awards. It’s also mentioned in media including Vogue, Bloomberg, ABC, Fox News and more. Taelor’s found

er Anya Cheng was named 40 Under 40 Girls in Tech, 30 Under 40 Rising Star Entrepreneur, and Min Magazine Marketer of Year nominee.  


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    Founder & CEO

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