Company Name: Chartbeat

Job Details: Easy,Apply,Hiring,Remotely,in,USA,Remote,170K-185K,Annually,Senior,level

Job Url: https://builtin.com/job/machine-learning-engineer-sr-software-engineer-i/6868974

Job Description: Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization.Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.The Team We are passionate about large-scale data systems, leveraging best-in-class technologies such as Snowflake, Kubernetes, Kafka, and Python. Machine Learning is a vital part of Chartbeat’s Data Engineering organization, focused on curating, enriching, and modeling data to power intelligent features, drive product discovery, and apply Large Language Models (LLMs) to real-world applications and strategic business decisions. ResponsibilitiesAs a Machine Learning Engineer at Chartbeat, you will:Contribute the design, development, and deployment of machine learning systems at scaleCollaborate with product managers and cross-functional engineering teams to deliver ML and generative AI powered featuresExplore, Experiment and Prototype upcoming generative AI technologies to solve complex business challengesHelp define and drive the technical roadmap for ML and AI initiativesDeploy with the help of cross functional Eng and Infra teams to build and deploy models that are explainable, maintainable, and effectively monitored in productionContribute to architectural decisions and long-term planning for ML infrastructureParticipate in the engineering on-call rotation to maintain the reliability and performance of production systemsAbout You5+ years working as a machine learning engineer, ideally within a B2B SaaS environmentExperience in training, building, and deploying machine learning models in production is essentialStrong Python proficiencyProficiency with advanced SQL querying and knowledge of common data warehouse environments, such as Snowflake, or similar Experience working with modern ML and data tooling (Such as PyTorch, TensorFlow, Spark and MLFlow)Experience implementing and scaling LLMs or foundation models in production environments is a plusExperience working with data pipelines that support multi tenant usages with different databases (such as Snowflake/BigQuery etc) for large, high-scale applicationsTheoretical knowledge of statistical and machine learning algorithms, as evidenced by an undergraduate or graduate degree in a mathematics, computer science, or engineering-related disciplineCompensation and Benefits:We are proud to offer our team members a competitive compensation plan that includes: Comprehensive Health, Dental, and Vision Insurance401K with company match (100% of the first 3% and 50% of the next 2%)                    Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parentsPhone and internet stipendWellness, learning, and coworking reimbursementsFlexible work hoursUnlimited PTO11 paid holidays and December holiday closureCompany-wide outingsThe compensation range for this position is $170,000 - $185,000Diversity, Equity, and Inclusion Statement  At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here.