About us

At Udemy, we’re on a mission to transform lives through learning. Through our intelligent skills platform and a global community of instructors, we’ve helped over 70 million learners and 16,000 organizations achieve their goals. Come join us in ensuring everyone, everywhere has access to the skills they need to unlock their potential and create possibilities for themselves and others.
This hybrid position requires two days per week in the office at the nearest hub.
About you

You’re an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering.

• Analytical Problem-Solving : The role demands tackling complex front-end challenges and optimizing scalability and performance, which requires strong analytical thinking and creative technical solutions.
  
  
• Collaboration and Cross-Functional Communication : Working closely with product, design, and data teams to create user-focused features emphasizes the importance of teamwork and clear communication.
  
  
• Mentorship and Leadership : Coaching other engineers and fostering a culture of quality and innovation highlights the need for leadership and a commitment to team growth.
  
  
• Ownership and Accountability : Taking full responsibility for the end-to-end lifecycle of features, including agile planning and sprint execution, shows the importance of accountability and reliable delivery.
  
  
• Adaptability and Continuous Learning : The dynamic nature of the role, which involves both front-end focus and understanding of ML interfaces, requires adaptability and a proactive approach to learning and adopting new technologies.
  
  About this role
  
  We are seeking a highly skilled and enthusiastic Senior Software Engineer to join our Machine Learning Services team at Udemy. This team is at the forefront of crafting real-time interfaces for various ML applications, from conventional machine learning applications to cutting-edge Generative AI (GenAI) solutions. You'll collaborate closely with product, design, and data teams to enhance and personalize the user interface and experience, emphasising front-end technologies.
  What you'll be doing
  
  • Propose and implement initial technical solutions to enhance user interface scalability, performance, and experience.
    
  • Solve challenging, high-impact frontend technical challenges, continually refactoring for robustness and scalability.
    
  • Expand the team's skillset with frontend skills to enable faster production of new AI features.
    
  • Own the end-to-end lifecycle of user-facing features, actively participating in agile processes for sprint planning and delivering within two-week cycles.
    
  • Cultivate a team culture prioritising quality, scalability, and innovation in front-end development.
    
  • Mentor other engineers, providing guidance in frontend technology best practices and development strategies.
    
  • Execute full-stack development primarily focusing on frontend technologies such as React, ensuring high standards through thorough code reviews and post-launch monitoring.
    
  • Collaborate on critical projects, bringing expertise in front-end design.
    
    What you’ll have
    
    • 4+ years of professional software development experience, with a strong focus on front-end technologies.
      
    • Demonstratable motivation for achieving results and bringing forward impactful front-end solutions.
      
    • Ability to guide and coach other engineers, fostering team success.
      
    • Experience in front-end architecture and design for distributed user-centric applications.
      
    • Strong proficiency in React and modern web development frameworks and technologies.
      
    • Experience with backend technologies in Python, Java, Kotlin, or other similar languages
      
    • Experience with cloud platforms and technologies, including AWS, Docker, or Kubernetes.
      
    • A basic understanding of machine learning concepts and their application in front-end interfaces is a plus.
      
      We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
      Life at Udemy
      
      We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy:
      
      • We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it.
        
        
      • Learning is what we do - inside and out. Our Learning &; Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend.
        
        
      • Our reason to exist is to revolutionize learning - that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success.
        
        
      • We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work.
        
        Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs?
        
        At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.
        Our Benefits Start With U
        
        Our benefits package at Udemy "starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the Türkiye:
        
        • Core Benefits: Comprehensive medical, dental, life and income protection coverage
          
          
        • Parental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement. 16 weeks paid maternity leave for birthing parents as well as a two-week "ease-back” program that enables parents to return part-time at full pay
          
          
        • Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving support
          
          
        • Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development
          
          
        • Charitable Giving: Corporate charitable match for eligible nonprofits and charities
          
          
        • Holidays: 15 days of approved leave if the length of service is 2 months in the first year; 21 days of annual leave if the length of term is between 1 and 3 years; 26 days of annual leave if the length of term is more than 3 years (i.e. 26 days for every year after the end of 4 years of service)
          
          Information regarding data privacy is available within the Udemy Careers Privacy Notice .
          
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