Leading device development strategies for drug - device combination products. Collaborating with cross - functional teams from concept to launch while ensuring regulatory compliance.
About the role
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
- Pre‑train and fine‑tune time series foundational models for downstream applications in various industries
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
- Manage research projects and communications with client research teams.
Requirements
- You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
- You’re an expert with PyTorch or JAX.
- You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
- You write clean, readable, high-performance, fault-tolerant Python code.
- You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
- Low-ego, collaborative and eager to learn.
- You have a track record of success through personal projects, professional projects or in academia.
- Proven work with time‑series modeling and transformers models applied to time-series: forecasting, anomaly/change‑point detection, irregular sampling, multivariate and hierarchical series.
- Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
- Have contributed to a large codebase used by many (open source or in the industry).
- Have a track record of publications in top academic journals or conferences.
- Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
Benefits
- 💰 Competitive cash salary and equity
- 🥕 Food : Daily lunch vouchers
- 🥎 Sport : Monthly contribution to a Gympass subscription
- 🚴 Transportation : Monthly contribution to a mobility pass
- 🧑⚕️ Health : Full health insurance for you and your family
- 🍼 Parental : Generous parental leave policy
- 🌎 Visa sponsorship
- 💰 Competitive cash salary and equity
- 🚑 Insurance
- 🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport
- 🥎 Sport: 90GBP/month reimbursement for gym membership
- 🥕 Meal voucher: £200 monthly allowance for its meals
- 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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