Staff Machine Learning Engineer

Who We AreHaving surpassed $200M ARR and continuing to grow, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: AuditBoard is top-rated on G2.com and Gartner Peer Insights.At AuditBoard, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the sixth year in a row, as ranked by DeloitteWhy This Role is ExcitingWe are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management. This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, etc. You will apply your expertise to build advanced AI/ML solutions, enhancing our AuditBoard product portfolio with features like predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights. If you're excited about leveraging modern AI/ML techniques to transform the industry, this role is for you. Join our customer-focused team dedicated to continuous learning and innovation.Key ResponsibilitiesBuild, ship, and own product features end-to-end such as predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights.Work with engineers, designers, and product managers to create high-performing product features.Design and implement AI solutions using classical ML methods and advanced techniques like LLMsWrite well-designed, maintainable, and testable codeWrite clear and well-defined design documentationTroubleshoot, debug, and resolve software bugsBe product-minded and think about the customerStay updated on AI/ML advancements and explore new techniques and tools.Participate in an Agile software development life cycleWork with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etcAttributes of a Successful CandidateBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field8 plus years of hands-on experience in developing and deploying machine learning modelsAbility to write scalable production-quality codeProficiency in classical machine learning methods and familiarity with newer techniques like LLMsExcellent programming skills in Python, Java, or similar languagesExperience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.Familiarity with search/information retrieval, and ranking systemsStrong communication skills and ability to work collaborativelyAnalytically minded with a focus on metrics and evaluationMotivation to work hard and always be learningPreferredExperience with Node.JS and modern ES6 or TypeScriptExperience working on SaaS web applicationsBasic understanding of distributed systemsBonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructureOur Company ValuesCustomer obsession: Apply relentless focus on listening to and understanding customers as the core of everything we doWin, together: Drive to be the best while supporting each other’s successGritty resilience: Thrive in a fast-paced and dynamic environment, balancing immediate priorities with big-picture strategic goalsPersonal improvement: Stay eager to share insights, seek feedback, and continuously learnConstant innovation: Challenge the status quo and drive improvementsPerksLaunch a career at one of the fastest-growing SaaS companies in North AmericaLive your best life (LYBL) $200/mo for anything that enhances your lifeRemote and hybrid work options, plus lunch in the Cerritos officeComprehensive employee health coverage (all locations)401K with match (US) or pension with match (UK)Competitive compensation & bonus programFlexible Vacation (US exempt & CA) or 25 days (UK)Time off for your birthday & volunteeringEmployee resource groupsOpportunities for team and company-wide get-togethersPlease note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information.We love building strong partnerships, but please note that AuditBoard cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation.#LI-Remote #J-18808-Ljbffr