Senior Staff Software Engineer - Machine Learning

Key Skills

Apache Hadoop, Apache Hive, Deep Learning, Framework, HuggingFace, LangChain, Large Language Models - LLMs, Photoshop, Python Programming, PyTorch, Spark-SQL, SQL, TensorFlow

Job Description

At Udemy, we’re on a mission to improve lives through the power of learning. We’re a leading global learning company and one of the world’s largest education platforms, with more than 59 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.

Talented people are everywhere, and the right opportunity can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by making learning more accessible for our learners, our instructors, and businesses around the world.

Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Istanbul, Dublin, and Melbourne.

Learn more about us on our company page.

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.

About this role

You will be responsible for designing and implementing solutions using cutting-edge technologies like large language models (LLMs) that are either hosted on premises or accessed through an API, our vector-based semantic search system, and of course neural networks either trained from scratch or fine-tuned using pre-trained models. Besides the technical complexity, these projects will be complex and diverse requiring you to work with minimal supervision and will involve multiple parties.

What you'll be doing

• Collaborate with the team members to plan, organize and complete the work required to build these solutions in sprints
• Report your findings and progress in a timely manner with documents that lay out the content in a clear way
• Continue to improve your understanding of your area and support your team in decision making and adopting best practices
• Building systems and processes that enable scalability, traceability and monitoring of ML solutions
• Specifically, you'll immediately start working on building products that involve language technologies relying heavily on LLMs hosted by major providers and using vector-based semantic search techniques
• Contribute to a team culture that values openness, quality, robustness, and scalability while fostering innovation.

What you’ll have

• Strong knowledge of algorithms and data structures
• Strong knowledge of machine learning lifecycle and hands-on experience on a variety of fundamental methods
• Strong experience with deep learning and large language models
• Experience with prompting techniques involving LLMs
• Proficiency with relevant programming languages and frameworks (e.g. SQL, Python, Tensorflow, PyTorch, Huggingface, LangChain, LlamaIndex)
• Experience with big data storage and processing frameworks such as Hadoop, Hive, and Spark

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. Learn more about our certification here and find out what it's like to work at Udemy on our blog.

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)