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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-driven solutions.
- 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.
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. We do not discriminate based on race, color, national origin, ethnicity, religion or belief, sex (including pregnancy or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other legally protected characteristics.
Senior Machine Learning Engineer - Payments in Leeds 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 Leeds
✨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! Create a portfolio showcasing your ML projects, especially those related to payments or financial services. This will help us see your hands-on experience and creativity.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practise common algorithms and data structures, and be ready to discuss your past projects in detail.
✨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 genuinely interested in joining our team at Plaid.
We think you need these skills to ace Senior Machine Learning Engineer - Payments in Leeds
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 your background makes you a great fit. Don’t forget to mention any specific experiences that relate to payments or data-driven decision-making.
Showcase Your Projects: If you've worked on interesting ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve cutting-edge techniques or data-intensive systems. Share links to your GitHub or portfolio if you have one!
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 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. Think of examples from your past work where you identified a problem and successfully implemented a solution. This will demonstrate your ability to drive projects to business impact.
✨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 different groups. Prepare examples of how you've collaborated in the past, particularly in defining ML roadmaps or working on data-driven decisions.
✨Understand the FinTech Landscape
Having experience in the FinTech industry is a plus, so brush up on current trends and challenges in this space. Be ready to discuss how your skills can contribute to Plaid's mission of unlocking financial freedom and how you can help improve their tools and services.
