Machine Learning Engineer (PhD)
Description For Machine Learning Engineer (PhD)
Akur8 is a dynamic Insurtech startup revolutionizing insurance pricing and reserving through transparent machine learning. Their SaaS platform accelerates insurers' pricing processes 10x faster with enhanced predictive power. As a Machine Learning Engineer (PhD), you'll join a diverse team of 35+ nationalities across global offices, working on their Python, Java, and Angular stack leveraging AWS cloud.
The role involves developing technical features for their actuarial pricing platform, requiring strong understanding of modeling, mathematics, and logic. You'll work directly with design and product teams, implementing machine learning solutions that help insurance companies reduce modeling time and improve premium creation accuracy.
The company has earned recognition in CB Insights Top 50 World Insurtech Companies 2023 and serves 250+ clients across 4 continents. They offer a collaborative environment with a strong tech DNA, combining serious work with team activities like karaoke and sports.
The position requires a PhD in computer science or related field, with experience in software engineering standards and machine learning. You'll be working in a hybrid setting in Paris, with comprehensive benefits including health insurance, gym membership, and relocation support.
This is an excellent opportunity for a PhD graduate to apply their technical expertise in a fast-growing startup that's making a significant impact in the insurance industry. The role offers both technical challenges and business exposure, with the chance to see your work directly affecting production systems.
Responsibilities For Machine Learning Engineer (PhD)
- Lead the development of challenging product features
- Interact with design and product teams to transform needs into structured tasks
- Design, build, integrate and maintain efficient, reusable and reliable code
- Understand data models and machine learning algorithms to optimize computation with AWS cloud services
Requirements For Machine Learning Engineer (PhD)
- PhD in computer science, applied mathematics or related topic
- Understanding of client priorities and sense of urgency
- Knowledge of machine learning, mathematics and/or statistics
- Experience in software engineering standards, testing, code reviews and system design
- French or Schengen area nationality or valid work permit
Benefits For Machine Learning Engineer (PhD)
- Competitive salary + annual bonus
- 25 days of paid holidays + RTT
- Gym membership with Gymlib
- On-site gym facilities / corporate sporting activities
- Excellent health insurance (including family coverage)
- Swile lunch vouchers
- Public transportation reimbursement + sustainable mobility allowance
- Relocation support
- Sponsored crèche access
- Free cafeteria with fresh fruit, drinks and snacks
- Office in the heart of the 9th arrondissement of Paris
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