Fin
Staff Machine Learning Scientist
1 нед. назад
ИрландияSeniorHybrid
machine learningsupervised modelsunsupervised clusteringtransformer neural networksprogrammingdata analysissqlvisualization
Join Fin, part of Salesforce, as a Staff Machine Learning Scientist working on cutting-edge AI customer service automation products with a hybrid work setup in Dublin, London, or Berlin.
About the company
- Fin is a large IT company that develops intelligent AI agents for customer service automation.
- Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
- Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce.
- Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration.
- Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
- Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience.
- Agentforce is the future of AI, and you are the future of Salesforce.
About the product
- Fin's Machine Learning team defines new ML features, researches algorithms and technologies, and rapidly delivers prototypes to customers.
- The team is product-focused, collaborating with Product and Design teams and shipping beta versions within weeks after successful offline tests.
- They have productized classic supervised models, unsupervised clustering algorithms, and novel transformer neural networks.
- Each deployed model is tested and measured for real customer impact.
Responsibilities
- Play an active role in hiring, mentoring and career development of other engineers.
- Raise the bar for technical standards, performance, reliability, and operational excellence.
- Identify areas where ML can create value for customers.
- Frame product problems with ML in partnership with teammates, Product, and Design stakeholders.
- Conduct exploratory data analysis and research to deeply understand problem areas.
- Research and identify appropriate algorithms and tools, innovating when needed.
- Perform offline evaluation to gather evidence of algorithm effectiveness.
- Collaborate with engineers to bring prototypes to production.
- Plan, measure and share learnings to inform iterative development.
- Partner deeply with the team and others to build excellent ML products.
Requirements
- 5-8 years applied ML experience.
- Previous background in a senior/staff role in data science, software development, or academia.
- Significant demonstrated impact on product and teams.
- Strong programming skills.
- Experience as the primary technical leader for a team.
- Strong communication skills across engineering and disciplines.
- Comfort with ambiguity.
- Typically advanced education in ML or related field (e.g. MSc).
- Scientific thinking skills.
Nice to have
- Experience shipping ML products.
- PhD or research environment experience.
- Deep expertise in ML areas such as NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering.
- Strong statistics or math background.
- Visualization and data skills including SQL and matplotlib.
Conditions
- Hybrid working policy requiring at least three days per week in the office (Dublin, London, Berlin).
- Radically open and accepting culture with focus on work and company goals.