Senior Machine Learning Engineer

At Siena, we are building the world's first autonomous customer service platform, leveraging artificial intelligence to enable machines to engage in useful and empathic conversations. Our platform is the first of its kind, designed to work out-of-the-box to effectively solve customer problems across all digital channels.

Our self-service, autonomous CX platform uses advanced natural language processing techniques to communicate with customers in a natural tone and promptly answer questions, while also utilizing conversation redirecting algorithms to develop a human + AI operating model. As a result, companies see a significant reduction in ticket backlogs, a marked improvement in customer experience, improved ability to manage unpredictable conversation volumes, and an increase in agent capacity to handle high empathy cases.

If you're excited about artificial intelligence and the intersection of human-to-machine communications, and want to be part of a remote team who is driving innovation and making a real impact, then come join us in pushing the boundaries of AI and CX performance.

As a part of our team, you will design, develop, and deploy large-scale machine learning training infrastructure and processes to simultaneously train and update multiple of cutting-edge models at the same time. You’ll work closely with fellow engineers to build systems capable of training machine learning models at a scale and quality required to serve our clients, the world’s fastest growing ecommerce companies. You’ll be faced with new technical challenges and things to learn about ML and software engineering on a daily basis.

What you'll do

• Design, build, and maintain model training systems that leverage and enable cutting-edge developments in training machine learning models at scale
• Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
• Collaborate with and mentor fellow engineers to help them maximize the speed and efficiency in model research and training
• Actively follow advancements in AI and ML, and participate in discussions about them with the ML and research teams

What you'll need

• 3+ years of production experience with Machine Learning and/or Natural Language Processing
• 5+ years of experience working with Python
• Proficiency in deep learning frameworks such as TensorFlow and PyTorch
• Experience building applications at scale and working on distributed computing projects
• Great communication skills both written and oral
• Desire to learn new things, work closely with peers from different teams, and help others

What we'd like to see

• Experience in big-data, ETL, or large-scale data science
• Production experience with modern cloud computing management (AWS, Kubernetes, Docker, etc.)
• Knowledge of additional languages such as Python, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
• Be passionate about something we don’t already have expertise in

Benefits

• 🏠 The flexibility to work from anywhere, even if it's just from the comfort of your own bed (because let's face it, who doesn't love a good WFH situation?)
• 🌞 Flexible working hours, because who said you can't design your day on your terms?
• 💸  Competitive salaries, smaller egos. We offer highly competitive salaries and equity, because we're building this together.
• 🌴 Time off? More like time on. With unlimited paid time off and a minimum of 15 days off per year, you'll have plenty of time to explore the world (or just your couch).
• 📖 "Edu-tainment" budget - an annual budget to continue learning and expanding your horizons. It's like getting a raise without having to ask for it. We invest in you, so you can continue to invest in yourself.

At Siena AI, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and redefine the world of B2B SaaS. If that’s you, we look forward to your application.

Siena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.