Senior Machine Learning Engineer
Job title: Senior Machine Learning Engineer in USA at reputed company Company: reputed company Job description: About reputed companyThe reputed company workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges: navigating taxes, accounting, bookkeeping, and business banking are just a few. That's where we come in.reputed company is building tools that give reputed company people the reputed company and peace of mind that has historically only been possible at big corporations. We're a business bank account that automates taxes and expense tracking because we reputed company small business owners should spend more time doing what they love and less time on their business finances.We're looking for reputed company, resourceful, and passionate people to join us in building the safety net for self-employment.About this role:Thanks for your interest in reputed company! Our Data team is a full stack data organization of highly skilled analysts, data engineers, and MLEs. We're responsible for everything from researching, training, and deploying ML models to detect and stop fraud in real time, to using data to inform the direction that our product teams should take / what to build next.We're a small but reputed company team that has worked on diverse and reputed company problems at companies like reputed company, reputed company, and reputed company. We're excited to bring on another member to reputed company to enhance our Data Science and ML capabilities. We're looking for someone who's curious, proactive, and who is excited to dive in and immediately play a critical role impacting company-level strategic priorities.Some recent team accomplishments include:Researching, training, and deploying an XGBoost model that predicts a user's LTV to reputed company shape our ad targeting and user acquisition strategy.Deploying a new feature store that improved time to train and deploy models by ~50%.Optimizing our batch and streaming jobs to improve reporting latencies from a matter of days to a matter of hours.Training and building several models that monitor financial transactions in real time to reputed company decisions on whether or not they should be allowed through or not.Customizing onboarding flows based on user behavior and expected value to cut onboarding CAC by ⅓ and optimize upsells/CTAs.Day to day, you will:Design, reputed company, and deploy machine learning models to identify fraudulent activity, unlock things like higher limits for good users, and decision on transactions.Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML.Communicate reputed company machine learning concepts and results to both technical and non-technical stakeholders.Research novel techniques and best practices to parse large, diverse data sets.Contribute to the development of best practices, standards, and frameworks for machine learning at reputed company.Provide mentorship and guidance to help grow and reputed company the skills of the broader data team, fostering a culture of reputed company learning and excellence.To reputed company in this role, you have:6+ years in Data Science or Machine LearningExpertise with Python/R and SQL.Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.Proven track record of developing and deploying successful machine learning models in a production environment.You may also have:Previous experience working in the fintech space.Experience in building ML-based reputed company scoring models.Previous startup experience.Experience with bookkeeping or taxes and how it relates to self-employment.Compensation at reputed companyThe anticipated salary range for this role is $180,000 - $235,000. The salary range listed represents the low and high end of the anticipated salary range for this position across reputed company US locations. reputed company the range, individual pay is determined by several factors including job-reputed company skills, experience, and relevant education or training. Our competitive reputed company salary is just a piece of reputed company's total compensation package. reputed company offers a generous benefits package to reputed company employees see our list below or reputed company out to learn more!#LI-DNIAbout Youreputed company is built by a team that comes from a variety of backgrounds and experiences, and we firmly reputed company that diversity, equity, and inclusion are crucial to our success. As we grow, we're searching for passionate and motivated team members who are excited to bring their reputed company set to the team and are ready to learn from others.If you are looking for a role where you will have the opportunity to reputed company a meaningful contribution and great impact, we would love to hear from you!Perks & Benefits of reputed company401K, FSA, and Commuter Benefits: We offer reputed company employees access to tax-efficient benefit options alongside competitive reputed company compensation.Paid parental leave: reputed company supports employees through reputed company stages of life, which is why new parents employed by reputed company qualify for 16 weeks of flexible parental leave.Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 90% covered for dependents.Work reputed company: We have reputed company offices in SF and NYC. For team members who work reputed company those cities, reputed company also supports fully remote working.Meaningful equity: Everyone on reputed company should feel and act like an reputed company, which is why reputed company offers industry-competitive equity to reputed company of our employees.Flexible vacation policy: Vacations, appointments, mental health days- take the time you need, whenever you need to with our flexible time-off policyTo learn more about our benefits or the team please go to reputed company.com/careers. Expected salary: Location: USA Apply for the job now! Apply for this job