Senior Machine Learning Scientist (London)
Role details
Job location
Tech stack
Job description
opportunity?Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands.We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.What will I be doing?Identify areas where ML can create value for our customersIdentify the right ML framing of product problemsWork with teammates and Product and Design stakeholdersConduct exploratory data analysis and
Requirements
researchDeeply understand the problem areaResearch and identify the right algorithms and toolsBe pragmatic, but innovate to the cutting-edge when neededPerform offline evaluation to gather evidence an algorithm will workWork with engineers to bring prototypes to productionPlan, measure & socialize learnings to inform iterationPartner deeply with the rest of team, and others, to build excellent ML productsWhat skills might I need?Broad applied machine learning knowledge3-5 years applied ML experiencePractical stats knowledge (experiment design, dealing with confounding, etc.)Strong communication skills, both within engineering teams and across disciplinesComfort with ambiguityTypically have advanced education in ML or related field (e.g. MSc)Scientific thinking skillsTrack record shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong
Benefits & conditions
stats or math backgroundBenefitsCompetitive salary and equity in a fast-growing start-upWe serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenPension scheme & match up to 4%Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependentsFlexible paid time off policyPaid maternity leave, as well as 6 weeks paternity leave for fathersIf you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage tooMacBooks are our standard, but we're happy to get you whatever equipment helps you get your job doneRelocation support for those moving to our officesWorking PolicyFin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. #J-18808-Ljbffr