Machine Learning Engineer

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.
The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.
Our brand promise : closing the gap between brands and consumers.
Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.
It’s official: Bazaarvoice is a Great Place to Work in the US , Australia and the UK!
In Bazaarvoice, Machine Learning Engineers are the end-to-end custodians of AI/ML projects, involved through early discovery to production software delivery. This role will involve collaboration with multi-skilled product teams and beyond to develop AI/ML driven solutions that have the potential to generate business value for the company while delighting our customers.

Essential Criteria

• 3+ years experience in leveraging Data Science and AI/ML frameworks to ingest and prepare data to build AI/ML models.
• Proficient in contributing to technical project direction in a collaborative team environment. Including but not limited to architecture, estimation and developing requirements.
• Experience contributing to or leading open ended discoveries, with a proven ability to unearth high quality AI/ML opportunities for customers and/or product teams.
• An appreciation for the importance of robust testing procedures and repeatable processes in the creation of AI/ML models.
• Proficient in communicating complex information to non technical stakeholders, framing information first and foremost through the lens of business value.
• Proven ability to apply software engineering best practices, including but not limited to an embrace of documentation, versioning (data and code) and writing modular, well designed software.

Desirable Criteria

• Experience building software using cloud platforms, ideally AWS.
• Experience experimenting with or building solutions that leverage NLP and Computer Vision techniques.
• Experience actively monitoring and acting upon the technology advancements in the AI/ML landscape.
• An awareness of the importance of CI/CD and proven experience using CI/CD tooling (Jenkins, Github Actions).
• An awareness of ‘ML Ops’ and its importance for the development, deployment and maintenance of AI/ML models.
• Awareness of the benefits of software observability techniques and tools (such as Datadog).

Why join Bazaarvoice? Customer is keyWe see our own success through our customers’ outcomes.  We approach every situation with a customer first mindset.
Transparency & Integrity Builds TrustWe believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance.
Passionate Pursuit of PerformanceOur energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission.
Innovation over ImitationWe seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage.
Stronger TogetherWe bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams.  As a stronger company we build a stronger community.
Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.