Staff Machine Learning Scientist
Job Description
Join our team at Zendesk QA to develop cutting-edge AI solutions for customer service! We are seeking forward-thinking experts who are looking to build AI-driven features that reshape Customer Experience teams to achieve their best by intelligently solving repetitive work so they can shift their focus to solving more sophisticated problems. Your expertise can help us change the game in how companies manage and improve their customer service operations. You will be embedded in a multi-functional team, closely collaborating with scientists, engineers and product managers. The ideal candidate will have a proven track record of driving innovation and delivering scalable ML solutions that solve real customer's problems in intelligent ways.
Our quickly expanding, international team has embraced the innovative mindset from day one. We are looking to expand our ML team and seeking candidates for a role based in Tallinn, Estonia.
What you’ll be doing:
Design, develop, and implement machine learning models and algorithms to create innovative AI features
Propose and prototype new features that make the most of generative models and solve customer problems in a novel way
Stay up-to-date with the latest advancements in machine learning and AI technologies, and apply best practices to enhance existing systems
Collaborate with ML engineers, engineering and work closely with product and UX teams to make innovation a reality
Solve meaningful and challenging problems with recent ML techniques including information retrieval, prompt engineering and LLMs
Champion initiatives to improve the quality and robustness of Zendesk AI capabilities
Mentor junior colleagues and set a high standard for building ML powered applications at Zendesk
What you bring to the role:
Proficient in programming skills in python and good code hygiene
Solid understanding of statistical analysis, data mining, and predictive modeling techniques
Experience with building features that utilise supervised or unsupervised ML and statistical models. Experience with building features that utilise LLM-s is a plus
Solid track record of building models that are live in production
Great written and verbal communication skills, with experience conveying technical concepts to a diverse, sometimes nontechnical audience
Strong independence and excellent planning and time management skills to ensure dedicated focus time for deep work, minimizing distractions
It's a plus
If you have MSc degree in computer science, mathematics, physics, or a related analytical or technical field, or a PhD
Our Stack
Python
AWS
Pandas, spaCy, TensorFlow, PyTorch, etc.
LLMs - OpenAI, PaLM2, Llama, etc.
PostgreSQL, Aurora, REST, microservices
Datadog
What we offer:
Autonomy, trust and research freedom to find interesting problems to solve
Take charge of the product features you develop—your ideas will have a direct impact!
Excellent data engineering infrastructure - research close to production and data availability
Ability to play with the newest technologies and support to rally teammates and bring innovative solutions to life
A team of dedicated professionals, with a significant portion holding PhDs. We have a collaborative environment built on trust and the open sharing of both challenges and achievements. We believe that having fun is an essential part of our success.
Flexible working hours
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