Hybrid Software Engineer (ML Platform - Chat Agent) Software Engineer (ML Platform - Chat Agent) with verification

Are you ready to redefine the future of work with cutting-edge AI? At Cresta, we're on a groundbreaking mission to supercharge the effectiveness of knowledge workers, making them 100x more productive, 10x faster, and 10x better.

Imagine transforming Call Center operations with our real-time agent assist product and harnessing the power of AI with our comprehensive suite of post-call analytics and coaching tools. Born from the prestigious Stanford AI lab, Cresta was co-founded by visionary Sebastian Thrun, the genius behind Google-X, Waymo, Udacity, and more. Our company is now driven by Ping Wu, the co-founder of Google Contact Center AI and the Vertex AI platform and Tim Shi (co-founder), an early member of Open AI.

Our world-class team comprises AI and ML experts, dynamic go-to-market leaders, and top-tier investors and advisors from Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. With an impressive roster of clients like Intuit, Porsche, and Verizon, and accolades from Business Insider, Forbes, and Gartner, Cresta is a startup that's capturing the world's attention. We’re also recognized on the Forbes AI50 in 2024!

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About The Role

As an Software engineer on the Chat Agent team, you will join the a team full of talented experts in frontend, backend, and ML/NLP. We have an in-house product for call analysis, building, evaluating, and deploying conversational AI models, and have labelers and analysts available. We work on a variety of ML problems, including but not limited to text generation, classification, summarization, etc. Our team leverages the latest in cutting edge LLM and GPT technologies to enable a truly market differentiated product suite.

Responsibilities

• Collaborate with product managers, data scientists, and other cross-functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives.
• Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT!) and best practices.
• Work with our production teams to build and deploy scalable, high-performing, and reliable ML/NLP pipelines and systems that operate 24x7.
• Actively contribute to the continuous improvement of our ML productivity, by identifying and leveraging opportunities for automation, data improvements, code optimization, and process enhancements.
• Help shape the direction of machine learning and artificial intelligence at Cresta.
  
  

Qualifications We Value

• Master's degree or PhD in Computer Science or related technical fields.
• 3+ years of experience in software development, with a strong focus on machine learning and natural language processing.
• Proficient in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
• Solid understanding of software development principles, data structures, algorithms, and design patterns.
• Experience with model optimization.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong problem-solving, communication, and collaboration skills.
• Bonus: hands-on experience in developing, deploying, and maintaining ML/NLP models & pipelines and with LLMs
  
  

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada
  
  

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Canada. Your recruiter can provide further details.