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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.
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.
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 in London 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 in London
✨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 technical interviews by brushing up on your coding skills and ML concepts. Practise solving problems on platforms like LeetCode or HackerRank. We want to see how you think and approach challenges!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Plaid.
We think you need these skills to ace Senior Machine Learning Engineer - Payments in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Machine Learning Engineer role. Highlight your experience with AI/ML models and any relevant projects that showcase your skills in the FinTech space.
Showcase Your Impact: When detailing your past experiences, focus on the impact of your work. Use metrics and examples to demonstrate how your contributions empowered users or improved processes, especially in data-intensive environments.
Be Authentic: Don’t be afraid to let your personality shine through in your application. We value diversity and unique perspectives, so share your journey and what drives you in the world of machine learning and payments.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at ChatGPT Jobs
✨Know Your ML Models Inside Out
Make sure you can discuss the AI/ML models you've worked on in detail. Be prepared to explain your approach to building, training, and deploying these models, especially in a production environment. Highlight any specific techniques or libraries you've used, like Python or Spark.
✨Showcase Your Problem-Solving Skills
Plaid is looking for someone who can tackle both 0-1 and 1-10 stage problems. Prepare examples of challenges you've faced in previous roles and how you approached them. This will demonstrate your ability to think critically and adapt to different stages of project development.
✨Emphasise Collaboration
Since you'll be working with both technical and non-technical teams, it's crucial to show that you can communicate effectively across disciplines. Share experiences where you collaborated with others to define project roadmaps or achieve common goals.
✨Dive Deep into Data
Be ready to discuss how you've used data-driven decisions in your work. Bring examples of how you've analysed data to inform your ML models or improve processes. This will show your analytical skills and commitment to making data a central part of your decision-making.
