Front is a customer operations platform that enables support, sales, and account management teams to deliver exceptional service at scale. Front streamlines customer communication by combining the efficiency of a help desk and the familiarity of email, with automated workflows and real-time collaboration behind the scenes. With Front, teams can centralize messages across channels, route them to the right person, and unlock visibility and insights across all of their customer operations.
More than 8,000 businesses across many different industries (manufacturing, logistics, travel, financial services, tech, etc.) use Front to drive operational efficiency that prevents churn, improves retention, and propels customer growth. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, Forbes Best Startup Employers 2022 List, and Best Workplaces for Millennials 2022 list.
Front has been a steward of valuable communication data and patterns from thousands of its customers. This puts Front in the unique position of building highly relevant and personalized functionality that can drive large efficiency gains for its customers. We are seeking a Sr. Machine Learning Engineer with a bias for impact to join our dynamic engineering team. This role is crucial for leveraging the latest advancements in Machine Learning and AI to enhance our product offerings, particularly in natural language processing (NLP), content generation, and predictive analytics. You'll be pivotal in bringing Machine Learning solutions to life, from conception to deployment, and working alongside cross-functional teams to integrate these technologies seamlessly into our products.
To excel in this position, you must demonstrate strong learning abilities, showcase proven ML development skills, possess a mindset that aligns with being both a product and business-oriented engineer, have prior experience leading engineering teams, and work effectively within small, dynamic cross-functional settings.
The San Francisco hiring salary range for this full-time position is $184,000 - $280,000 USD. Individual compensation packages are based on factors unique to each candidate, including job-related skills, experience, qualifications, work location, training, and market conditions. At Front, we take a market-based approach to pay. In addition to cash compensation (base salary, which may include commissions or overtime pay where applicable), Fronteers are eligible to receive equity in the company. This resource will provide additional information on our location zone designations. If you have questions, please speak with a member of our recruiting team for additional information.
These ranges may be modified by Front at our sole discretion in the future
What we offer
✨ Competitive salary
🤝 Equity (we are post-series D & backed by some of the best VCs in the US)
🏥 Private health insurance fully covered by Front
💪 Flexible Fridays - learn more here!
🏡 Flexibility to work from home 3 days/week (unless posted as a full-remote role)
🛋 Mental health support with Modern Health
🍼 Family planning support with Maven
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.