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- Tasks: Empower millions by building impactful ML models for Fintech applications.
- Company: Join Plaid, a leader in financial technology with a mission for equity.
- Benefits: Competitive salary, equity options, comprehensive health benefits, and 401(k).
- Why this job: Work on cutting-edge ML projects that shape the future of finance.
- Qualifications: 5+ years in AI/ML, strong coding skills, and a passion for data.
- Other info: Remote work with a diverse team and excellent career growth opportunities.
The predicted salary is between 150000 - 225000 £ per year.
We are seeking a Senior Machine Learning Engineer to join Plaid’s payments-focused ML team. Plaid builds tools and experiences used by thousands of developers to create financial products, enabling millions of users to connect their financial accounts to apps and services. Plaid powers connections with thousands of financial institutions across the US, Canada, the UK and Europe.
Responsibilities:
- Build with impact. Your work will empower millions of users through well-known and emerging Fintech applications with access to financial services.
- Experiment with cutting-edge ML modeling techniques.
- Work on both 0-1 stage problems as well as 1-10.
- Develop AI/ML models in a full lifecycle, from offline training to online serving and monitoring.
- Collaborate with teams across Plaid to define the ML roadmap.
- Dive deep into data and apply data-driven decisions in day-to-day work.
- Demonstrate high ownership in a bottom-up driven team.
Qualifications:
- 5+ years in training and serving AI/ML models in a production environment.
- Experience building/working with data-intensive backend applications in large distributed systems.
- Ability to code and iterate independently on data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.
- Take pride in ownership and driving projects to business impact.
- Data analytics and data engineering experience is a plus.
- Experience with NLP applications is a plus.
- Experience in the FinTech industry is a plus.
- Ability to work with technical and non-technical teams.
- Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.
About Plaid and Equal Opportunity:
Plaid seeks a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We encourage you to apply even if your experience doesn’t fully match the job description. Plaid is an equal opportunity employer and values diversity.
Senior Machine Learning Engineer - Payments employer: ChatGPT Jobs
Contact Detail:
ChatGPT Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - Payments
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those at Plaid. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source ML tools, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for the interview by diving deep into Plaid's products and services. Understanding how your role as a Senior Machine Learning Engineer fits into their mission will impress the hiring team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Plaid.
We think you need these skills to ace Senior Machine Learning Engineer - Payments
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with AI/ML models and any relevant projects you've worked on in the FinTech space. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our mission at Plaid. Don't forget to mention any specific experiences that relate to payments and financial services.
Showcase Your Projects: If you've worked on interesting ML projects, make sure to showcase them! Whether it's through links to GitHub or detailed descriptions in your application, we love seeing practical examples of your work and how you've tackled real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Plaid!
How to prepare for a job interview at ChatGPT Jobs
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with AI/ML models in detail. Be prepared to explain the techniques you've used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and hands-on experience.
✨Showcase Your Collaboration Skills
Since you'll be working with both technical and non-technical teams, highlight your ability to communicate complex ideas clearly. Prepare examples of past collaborations where you successfully bridged gaps between different team members.
✨Demonstrate Data-Driven Decision Making
Be ready to discuss how you've used data analytics in your previous roles. Share specific instances where your data-driven decisions led to significant business impacts, especially in a FinTech context.
✨Prepare for Technical Questions
Brush up on your coding skills, particularly in Python and Spark. Expect to solve problems on the spot or discuss your approach to building data infrastructure tools. Practising common technical interview questions can give you an edge.
