About the role
- Identify areas where ML can create value for our customers
- Identify the right ML framing of product problems
- Work with teammates and Product and Design stakeholders
- Conduct exploratory data analysis and research
- Deeply understand the problem area
- Research and identify the right algorithms and tools
- Be pragmatic, but innovate to the cutting-edge when needed
- Perform offline evaluation to gather evidence an algorithm will work
- Work with engineers to bring prototypes to production
- Plan, measure & socialize learnings to inform iteration
- Partner deeply with the rest of team, and others, to build excellent ML products
- Move prototypes to beta and measure real customer impact
Requirements
- Broad applied machine learning knowledge
- 3-5 years applied ML experience
- Practical stats knowledge (experiment design, dealing with confounding etc)
- Intermediate programming skills
- Strong communication skills, both within engineering teams and across disciplines.
- Comfort with ambiguity
- Typically have advanced education in ML or related field (e.g. MSc)
- Scientific thinking skills
- Track record shipping ML products
- PhD or other experience in a research environment
- Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
- Strong stats or math background
- Visualization, data skills, SQL, matplotlib, etc.
- Competitive salary and equity in a fast-growing start-up
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- Regular compensation reviews - we reward great work!
- Pension scheme & match up to 4%
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Flexible paid time off policy
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
- MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
- Relocation support for those moving to our offices
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningapplied MLstatistical knowledgeprogrammingNLPdeep learningBayesian methodsreinforcement learningclusteringdata visualization
Soft skills
communicationscientific thinkingcomfort with ambiguitycollaborationproblem-solvinginnovationpragmatismiterationresearch skillscustomer impact measurement
Certifications
MSc in ML or related fieldPhD in ML or related field