Senior Machine Learning Scientist
Applies machine learning research and experimentation to identify customer value, evaluate algorithms, and ship product prototypes with engineering teams. Requires 3–5 years of applied ML experience, strong statistical and programming skills, and typically advanced education in ML or a related field.
About the job
Responsibilities
- Identify areas where machine learning can create value for customers.
- Frame product problems appropriately for machine learning.
- Collaborate with teammates and Product and Design stakeholders.
- Conduct exploratory data analysis and research.
- Develop a deep understanding of problem areas.
- Research and identify suitable algorithms and tools.
- Apply pragmatic solutions while innovating toward cutting-edge approaches when needed.
- Perform offline evaluations to gather evidence that algorithms will work.
- Work with engineers to bring prototypes to production.
- Plan, measure, and communicate learnings to inform iteration.
- Partner with the wider team to build excellent machine learning products.
Requirements
- Broad applied machine learning knowledge.
- 3–5 years of applied machine learning experience.
- Practical statistics knowledge, including experiment design and handling confounding factors.
- Intermediate programming skills.
- Strong communication skills within engineering teams and across disciplines.
- Comfort with ambiguity.
- Typically, advanced education in machine learning or a related field, such as an MSc.
- Scientific thinking skills.
Nice-to-haves
- A track record of shipping machine learning products.
- A PhD or other experience in a research environment.
- Deep experience in an applicable machine learning area, such as natural language processing, deep learning, Bayesian methods, reinforcement learning, or clustering.
- Strong statistics or mathematics background.
- Visualization and data skills, including SQL and Matplotlib.
Compensation and Benefits
- Competitive salary and equity in a fast-growing startup.
- Lunch provided on weekdays, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with matching contributions up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook or other suitable equipment.
- Unlimited access to Claude Code and other AI tools.
- Relocation support for employees moving to company offices.
Skills
Machine Learning, Statistics, Experiment Design, Python, SQL, Matplotlib, Natural Language Processing, Deep Learning, Bayesian Methods, Reinforcement Learning, Clustering, Data Visualization
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