Data Engineer - Applied AI - Data Cycling Center

Responsibilities

About the team
The Machine Learning Engineering (MLE) team focused on the application of multimodal LLMs, unsupervised learning, and clustering algorithms. The ideal candidate will work closely with product, operations, and engineering teams to apply advanced natural language processing, computer vision, and deep learning technologies to solve business challenges and extract actionable insights.

Responsibilities
- Collaborate closely with data scientists, machine learning engineers, and software developers to build scalable data pipelines.
- Support the development and deployment of machine learning models by ensuring high-quality, reliable data infrastructure.
- Drive innovation in data processing, storage, and retrieval to optimize model training and inference.
- Work in an agile environment focused on continuous integration and delivery of ML solutions.
- Contribute to the design and implementation of data governance and security best practices.

Qualifications

Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field along with proven experience in data engineering, preferably within a machine learning or AI-focused team.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka) along with strong expertise in designing, building, and maintaining ETL/ELT pipelines.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.

Preferred Qualifications
- Solid understanding of database systems, both SQL and NoSQL.
- Experience optimizing performance in big data and fully understanding data skew along with familiarity with data governance, lineage, and real-time data processing practices.
- Knowledge of machine learning workflows and data requirements along with excellent problem-solving skills and ability to work collaboratively in cross-functional teams.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $14400 - $329334 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: