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For Companies At a Glance
- Tasks: Lead machine learning projects to enhance women's health through innovative AI solutions.
- Company: Join Flo, a pioneering company dedicated to improving women's health with cutting-edge technology.
- Benefits: Enjoy flexible working, equity grants, generous leave policies, and unlimited premium subscriptions.
- Why this job: Be part of a mission-driven team that values experimentation and personal growth in a supportive culture.
- Qualifications: 6+ years in machine learning, strong programming skills, and familiarity with deep learning concepts required.
- Other info: Hybrid work model available; opportunity to work abroad for two months each year.
The predicted salary is between 4800 - 7800 £ per month.
The Job
Our engineers aren’t just building a better product; they’re making the world a better place by improving women’s health. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, medically credible health tips. We are committed to discover and empower our employees to implement brand-new solutions. Flo is a place for experimentation and implementation opportunities at the senior level. Flo is not just a feature factory; we own value delivery end to end. Flo is a constantly evolving product. New features and technologies are added, hardening development. Our engineers have an average of 10 years of experience, so they can solve ambitious product tasks.
We are looking for a Machine Learning Engineer for the AI foundation team. Solutions the AI team build are rooted in our medical knowledge, technical skills, swift adoption of new technologies such as LLMs, product expertise, and in constant search for better understanding of our customers’ needs.
Our responsibilities are broadly divided across several critical areas:
- LLM research: We research LLM models in terms of medical accuracy, safety, technical characteristics and so on
- LLM implementation and support: We build and oversee LLM-based products at Flo, which is a new and existing area of development
- Menstrual cycle modelling, finding patterns and regularities in symptoms, symptoms prediction, utilising data from wearable devices, and more
Your Experience
Must have:
- 6+ years of professional experience in the field of machine learning
- Solid understanding of classical ML algorithms
- Good understanding of statistical concepts, particularly in the context of A/B testing
- Familiarity with fundamental concepts of deep learning and transformer-based architectures
- Strong programming and algorithmic skills
- Experience working with big data technologies
Nice to have:
- Strong communication and ownership skills
- Experience in recommendations and search, chatbot development
- Experience in systems design with the ability to architect and explain machine learning pipelines
- Data visualisation skills
- Experience in the med-tech domain
What you’ll be doing
You’ll be responsible for:
- Exploratory data analysis
- Development of ML algorithms
- Deployment to millions of users
- End-to-end ownership of ML problems
Salary Range - gross per month: €6,000—€9,400 EUR. Ranges may vary depending on your skills, competencies and experience.
Reward
People perform better when they’re happy, paid well, looked after and supported. On top of competitive salaries, Flo's employees have access to:
- A flexible working environment with the opportunity to come into the office and work from home
- Company equity grants through Flo’s Employee Share Option Plan (ESOP)
- Paid holiday and sick leave
- Fully paid female health and sick leave, in addition to holiday and regular sick leave
- Workations - an opportunity to work abroad for two months a year
- Six months paid maternity leave, and one month's paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
- Career growth, progression, and learning development resources
- Annual salary reviews
- Unlimited free premium Flo subscriptions
- A whole host of other benefits (health/pension/social schemes)
Senior Machine Learning Engineer (AI Foundation) employer: FLO
Contact Detail:
FLO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (AI Foundation)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in LLMs and deep learning. Being well-versed in these areas will not only boost your confidence during discussions but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Engage with the community by attending relevant meetups or conferences focused on AI and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position at Flo.
✨Tip Number 3
Prepare to discuss your experience with big data technologies and how you've applied them in previous projects. Be ready to share specific examples of how you've tackled complex ML problems, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Highlight any experience you have in the med-tech domain, especially if it relates to women's health. Understanding the nuances of this field can set you apart from other candidates and align your passion with Flo's mission.
We think you need these skills to ace Senior Machine Learning Engineer (AI Foundation)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly focusing on your 6+ years of professional experience. Emphasise your understanding of classical ML algorithms and any work with big data technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for improving women's health through technology. Mention specific projects or experiences that align with Flo's mission and the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, clearly outline your programming and algorithmic skills. Provide examples of your experience with deep learning, transformer-based architectures, and any relevant projects that demonstrate your ability to deploy ML algorithms.
Highlight Communication Skills: Since strong communication and ownership skills are valued, include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders or led projects in previous roles.
How to prepare for a job interview at FLO
✨Showcase Your Experience
With over 6 years of experience required, be ready to discuss specific projects where you've successfully implemented machine learning algorithms. Highlight your role in these projects and the impact they had on the product or company.
✨Understand the Company’s Mission
Flo is focused on improving women’s health through technology. Familiarise yourself with their products and how machine learning plays a role in enhancing user experience. This will show your genuine interest in the company’s goals.
✨Prepare for Technical Questions
Expect questions on classical ML algorithms, deep learning, and statistical concepts. Brush up on A/B testing and be prepared to explain your thought process when solving complex problems, as this will demonstrate your technical prowess.
✨Demonstrate Communication Skills
Strong communication is key, especially in a senior role. Be prepared to explain complex technical concepts in simple terms, and share examples of how you've effectively collaborated with cross-functional teams in the past.
