Responsibilities
Our team focuses on high-performance infrastructure, real-time APIs, and AI-powered recommendation systems to provide timely insights and automated diagnostics for our users. This role is an opportunity to work on cutting-edge engineering challenges, optimize cross-channel interoperability, and build the next-generation engagement platform.
Responsibilities
- Design and implement scalable APIs and infrastructure that support cross-channel customer engagement.
- Build modular, reusable systems that integrate AI-driven personalization and automation across different touchpoints.
- Develop AI-powered recommendation and diagnostic systems to provide real-time insights to customers.
- Optimize real-time data pipelines and ensure the performance, reliability, and scalability of customer engagement solutions.
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- Collaborate with Product, UX, Data Science, and ML teams to design and implement seamless engagement experiences.
- Ensure system security, compliance, and best engineering practices in AI-driven solutions.
Qualifications
Minimum Qualifications
- Experience in backend or infrastructure engineering, focusing on scalable APIs, distributed systems, or real-time data pipelines.
- Hands-on experience building reusable infrastructure for multi-channel applications.
- Strong expertise in high-performance computing, microservices, and cloud-native architectures.
- Familiarity with leveraging LLMs, NLP, and common machine learning techniques for customer engagement and personalization.
- Strong problem-solving mindset, with experience driving technical execution in cross-functional teams.
Preferred Qualifications
- With past experience focused on scalable infrastructure and AI-driven systems.
- Experience with high-scale, AI-driven personalization and diagnostic platforms.
- Deep expertise in recommendation systems, reinforcement learning, or predictive analytics.
- Cloud infrastructure expertise, including Kubernetes, microservices, and large-scale data processing.
- A/B testing, optimization techniques, and data-driven decision-making experience.
- Proven ability to contribute to open-source projects, publish research, or impact industry best practices.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $212800 - $389500 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.