Staff Machine Learning Engineer - Remote

Clari’s Revenue platform offers accurate forecasting and visibility on revenue performance from the sales representative to the boardroom - helping them identify revenue leaks to determine if they will meet, beat, or exceed their sales targets. With insights like these, it's no surprise that leading global companies, such as Okta, Adobe, Workday, and Zoom, use Clari to drive revenue accuracy and precision. We're driven by the positive feedback from our customers and the success they achieve. Are you ready to achieve outstanding results with us? About the Team The Engineering team at Clari utilise Agile methodology and Scrum practices across all teams. We coordinate effective practices such as Big Room Planning to stay in line with Clari's KPIs on a quarterly basis across locations and teams. If you thrive in an Agile environment that values collaboration and continues improvement, we look forward to meeting you. About the Role We are seeking talented Staff ML Engineers who are passionate about constructing ML platforms and data pipelines for large-scale data repositories. You will be working with accomplished colleagues on varied and complex problems at an enterprise level, with a focus on quality and reliability. You will be instrumental in the construction of a state-of-the-art ML platform and data pipeline which will feed time series data to build AI models. Your work with a variety of stakeholders within the company will support in the design and build of an ML platform that powers the top-tier enterprise product suite beloved by our customers. Many of the most recognized companies in the world will use the products you build. This is an exciting opportunity to join an adaptable, dynamic and expanding team to teach, learn and make a significant, quantifiable impact each day. We exist in an open, collaborative environment and are seeking exceptional ML engineers who enjoy creative problem-solving and stepping outside the norm. This is a fully remote opportunity and can be undertaken from any location in the United States. Responsibilities - Design and construct the next generation of ML architecture - Improve the current ML platform that trains and deploys Clari’s AI models - Learn and contribute to all aspects of the data science platform - Write robust, and fully tested software for deployment in mission-critical production environments Qualifications - 8+ years of server-side development experience using Java or similar object-oriented languages - Knowledge of Python, Scala, and frameworks such as TensorFlow, PyTorch, Keras - Experience delivering successful software projects from inception through deployment - Strong problem-solving skills, and expertise in data structures and algorithms Perks and Benefits @ Clari - Remote-first with opportunities to work and celebrate in person - Medical, dental, vision, short & long-term disability, Life insurance, and EAP - Mental health support provided by Modern Health - Pre-IPO stock options - Well-being and professional development funds - Retirement 401(k) plan - 100% paid parental leave, plus fertility and family planning - Discretionary paid time off, monthly 'take a break' days, and Focus Fridays Our compensation program aims to be transparent, attract potential employees, meet the needs of all current employees, and encourage employees to stay and grow at Clari. Clari is honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We value offering interesting and meaningful work in a nurturing and inclusive environment free from discrimination for everyone. We hope you'll join us on our journey to remarkable! If you feel you don't meet 100% of the qualifications outlined above, we encourage you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you. Clari focuses on culture add, not culture fit. We understand that we serve our customers better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.