Software Engineer, Machine Learning & AI Integration

Description

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.

One Confluent. One team. One Data Streaming Platform.

Data Connects Us.

About the Role:

Confluent is seeking a bright new college graduate Software Engineer with an academic background in distributed systems and machine learning. You will work on designing and developing a cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) foundation seamlessly integrated with Confluent Cloud data processing infrastructure, including Flink SQL and Table API. In this role, you will work on ML and AI capabilities that empower our customers to unlock the full potential of their data. You will be responsible for both building the infrastructure as well as designing and implementing different categories of ML and AI algorithms, including classification, inference, clustering, regression, feature engineering, recommendation, GenAI, and others. 

The infrastructure you build will support both externally trained models and the ability to train models natively within Confluent Cloud, including incremental training as data streams in real-time.

What You Will Do:

• Quick learner: Work with senior engineers who are mentors, to quickly come up to speed about industry best practices and tooling to implement ML and AI functionality for Confluent Cloud. Drive implementations for well-scoped out designs independently with minimal guidance.
• Software development: Spend time learning Confluent’s coding and software development practices, dev prod systems, release process and planning/design process. Ensure that ML and AI functionality is accessible and usable by non-experts.
• Diverse Functionality: Design and implement feature classification, inference, clustering, regression, feature engineering, recommendation systems, and the GenAI platform, addressing a wide range of customer needs.
• Model Training: Create infrastructure that supports both externally trained models and native model training within Confluent Cloud. Enable incremental model training as data is streamed, ensuring the models remain up-to-date.
• Collaboration: Foster collaboration across Confluent, sharing your ML and AI academic knowledge to enhance productivity and effectiveness across teams.
• Quality Assurance: Ensure the quality of the architecture and design of ML and AI capabilities, adhering to best practices, scalability, and performance.
• Problem Solving: Decompose complex ML and AI challenges into actionable and effective solutions, considering real-time data streaming requirements.
• Industry Engagement: Represent Confluent Engineering in external ML and AI communities, conferences, and industry events, building a strong network and contributing to Confluent's industry presence.
• Deliver sub-tasks on time, helping the team meet deadlines. Participate in on-call rotations, write 1-pagers for designs.  

What You Will Bring:

• Minimum of 1 year of software development.
• Technical Expertise: Familiarity with distributed systems. Familiarity with ML frameworks, tools, and libraries through academic coursework and prior internships.
• Nice to have: Experience building ML and AI solutions that seamlessly integrate with data processing systems like Flink SQL and Table API.
• Model Training: Hands-on experience in model training, both externally and natively within cloud platforms. Ability to handle incremental training and real-time updates.
• Feature Engineering: Experience with feature engineering, classification, inference, clustering, regression, and recommendation systems.
• Problem Solving: Strong problem-solving skills, proactively showing initiative to unblock yourself by consulting others
• Communication: Excellent communication skills, both written and verbal, with the ability to collaborate across teams.
• Industry Engagement: Active involvement in ML and AI communities, conferences, and a strong network within the industry.

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $117,800- $135,450, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE.

Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
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