Machine Learning Engineer, Bazaarvoice
UGC-based shopper engagement platform
Be an early applicant
UGC-based shopper engagement platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
Bazaarvoice's mission is to build smarter shopper experiences across the entire customer journey.
Role
Who you are
- Strong Python proficiency for ML model development and deployment
- Experience with AWS cloud services (Lambda, ECS, ECR, SageMaker, MSK, SNS, SQS)
- Familiarity with ML orchestration platforms and CI/CD pipelines
- Knowledge of streaming technologies (Kafka) and high-volume data processing
- Experience with NLP, LLMs, and production ML monitoring tools
- Ideally with strong a Software Engineering or Computer Science background
- Willingness to work with Scala-based systems and learn as needed
What the job involves
- We are seeking an experienced ML Engineer to join our Machine Learning team and maintain continuity of our critical AI-powered services
- This role combines hands-on model development with production system maintenance in a fast-paced, data-rich environment processing content at massive scale
- Develop and enhance AI services including AI Insights pilot and AI Automated Answers using LLM/RAG architectures
- Maintain and optimize our mission-critical Machine Moderation system using Python-based NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS)
- Train, evaluate, and monitor machine learning models using orchestration tools (e.g. Flyte, Airflow)
- Manage ML pipelines on AWS with containerized services and CI/CD deployment via GitHub Actions
- Implement streaming data processing using Kafka for real-time content moderation decisions
- Monitor model performance and drift using observability tools (e.g. Arize AI)
- Collaborate with teams using Scala-based services and maintain API integrations for model serving
- Conduct architectural reviews for ML pipeline design and Infrastructure as Code (Terraform)
- Research and implement novel LLM & NLP approaches for content moderation and consumer insights
- Optimize batch and streaming ML workloads processing millions of reviews, questions, and answers daily
- Production ML system maintenance using cloud-native AWS infrastructure
- Real-time and batch model serving with monitoring and alerting
- Cross-functional API development and integration with existing services
- Research and development of NLP applications for e-commerce content analysis
Salary benchmarks
Our take
As more and more consumers turn to peer reviews and ratings to inform their purchasing, businesses seek to incorporate this user-generated content into their marketing efforts. Bazaarvoice enables this authentic customer-powered marketing, turning social media into social commerce for the world's best global brands.
Bazaarvoice allows consumers to create and share ratings, reviews, questions, answers, and stories about products and brands on its clients' websites. It then syndicates that content across the web to reach shoppers wherever they are, boasting a measured positive influence on purchase decisions. On top of this, the company also gathers customer intelligence which it analyses and provides to clients so they can make real-time, informed business decisions.
The company has continued to consolidate its position, for example with the 2021 acquisition of Curalate, as well as more recent acquisitions such as that of creator marketing platform affable.ai. With the trend towards consumer-to-consumer purchase influence still very much underway, the company should find ample opportunity for further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2008
$7.1m
SERIES C
Sep 2007
$8.8m
SERIES B
Total funding: $19.9m
Company benefits
- Dental & Vision plans
- Parental leave policies
- Mentorship with industry leaders
- Wellness programs
- Work from home opportunities
- Health insurance
Company HQ
Stonelake Office Park, Austin, TX
Leadership
Keith Nealon
(CEO, not founder)Advisory Board Member at Axonista. Previously President and General Manager of the Cloud Division at ShoreTel for 2 years, an Advisory Board Member at Smartling for 6 years, and CEO at Vyze for 4 years.
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