At a Glance
- Tasks: Build bespoke technical solutions and collaborate with ML teams to develop innovative infrastructure.
- Company: Join a high-growth startup focused on impactful machine learning solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team and help shape the future of technology.
- Why this job: Make a real difference in healthcare and finance while working closely with customers.
- Qualifications: 2+ years of backend software engineering experience and proficiency in Python and SQL.
The predicted salary is between 50000 - 70000 £ per year.
Requirements
- Technical background including experience writing software or building ML models
- 2+ years of professional backend software engineering experience
- Proficient in Python, SQL
- Ability to collaborate effectively in teams of technical and non-technical individuals
- Excellent written and verbal communication, problem-solving, storytelling, and analytical skills
- Experience working closely with sales teams and customers is a plus
- Bachelor's degree in Computer Science or equivalent
- Desirable: Previous experience working with ML/data products or services
- Desirable: Understanding of Machine Learning Ops/Infrastructure
- Desirable: Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning
What the job involves
- You are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure
- You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems
- This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation
- This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up
- Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
- Work closely with our Engineering and Sales teams
- Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)
- Recommend new products to customers as their business evolves
- Help interview and grow the Engineering team
Customer-Facing ML & Backend Engineer employer: Chalk
Chalk is an exceptional employer that fosters a collaborative and innovative work culture, where you can make a significant impact as a Customer-Facing ML & Backend Engineer. With a focus on employee growth, we offer unique opportunities to work closely with customers in diverse sectors such as healthcare and finance, while also providing a supportive environment for professional development. Join us at our high-growth startup and be part of a team that values creativity, problem-solving, and meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Customer-Facing ML & Backend Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects. We want to see how you’ve tackled real-world problems, especially in ML and backend engineering.
✨Tip Number 3
Show off your communication skills! When chatting with potential employers, make sure you can explain complex technical concepts in simple terms. We love candidates who can bridge the gap between tech and non-tech folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by our team. Plus, we’re always on the lookout for passionate individuals who want to make an impact in the ML space.
We think you need these skills to ace Customer-Facing ML & Backend Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical background and experience in software engineering. We want to see your proficiency in Python and SQL, so don’t hold back on showcasing your projects or any ML models you've built!
Tailor Your Application:Customise your application to reflect the job description. Mention your experience working with sales teams and customers if you have it, and relate your skills to the specific challenges we face at StudySmarter.
Communicate Clearly:Since excellent written communication is key for this role, ensure your application is clear and concise. We love a good story, so feel free to share how your problem-solving skills have made an impact in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Chalk
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your past projects and how you've built ML models or backend solutions. This is your chance to showcase your expertise!
✨Showcase Your Communication Skills
Since this role involves working closely with both technical and non-technical teams, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully collaborated with sales teams or customers in the past.
✨Prepare for Problem-Solving Questions
Expect to face some problem-solving scenarios during the interview. Think about challenges you've encountered in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company and Its Products
Do your homework on Chalk and its technology. Familiarise yourself with their infrastructure and the types of problems they solve in healthcare, finance, and recommendations. This will help you tailor your responses and show genuine interest in the role.
