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.
We’re searching for an experienced Machine Learning Engineer who values mastery, authenticity, and positivity to help build and grow our product. As an engineer, your strong foundation in productionizing machine learning models will be essential in making long lasting improvements to our product. If you are a highly technical, hands-on, and mission-driven engineer, who has a passion for solving problems in the area of ML based recommender models, search and e-commerce optimization then this is the role for you. This is a full-time position. We are centrally located in Edmonton, but remote applications will also be considered.
How you will make an impact:
- Research, design and prototype intelligent systems with the aim of enhancing online shopper experience.
- Assist in research prototypes and develop them into fully-fledged AI software that are ready to be delivered to our clients.
- Participate in active maintenance of models and ML-pipelines
- Maintain and improve legacy models and ml pipelines suggesting and implementing changes as appropriate
- Participate in code reviews ensuring that released code maintains our standards of quality and engineering excellence
- Keep up-to-date with the latest papers in artificial intelligence and machine learning to propose solutions for real problems in e-commerce, particularly as it pertains to optimizations in productionalization
- MLops: Build and help maintain infrastructure to support the evolution of our shopper interaction toolset.
- Mentor other engineers and share relevant knowledge.
- Troubleshoot, test, and debug to your heart’s content.
- Being able to identify key metrics and experience building and responding to automated monitoring systems.
- Ad-hoc problem solving based on client needs. Our white glove service means we often have to implement solutions to client specific problems in robust and well designed ways
About you:
- At least 2 years of real-world experience implementing Machine Learning software
- At least 3 years of experience (in total) implementing production level software
- Proficient in Python and/or C/C++, with an interest in learning new languages
- BSc (MSc or PhD preferred) in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, Physics, or a related discipline, with (at minimum) graduate-level courses in machine learning, or equivalent practical experience.
- Strong research experience in machine learning, preferably in one or more of the following (in no particular order): reinforcement learning, natural language processing, LLMs, recommendation and/or ranking systems, deep generative models, representation learning, AI interpretability, domain generalization, meta-learning, computer vision, deep neural network architectures.
- Proficient in deep learning frameworks like Tensorflow, PyTorch, etc. and scientific computing packages like NumPy. Able to implement an algorithm as described in an academic paper using these frameworks in quality code.
- Strong computer science background, with experience in object-oriented programming, systems design, data structures and algorithms.
- Familiarity with source control (Git) and Unix systems, including shell scripting.
- Good intuition for applying AI theory to make business-oriented products with minimal guidance.
- Communicate to introduce honesty and clarity (avoiding buzzwords and jargon) to experts in multiple disciplines. Demonstrate a mature understanding of the current possibilities and limitations of AI research.
- Curious, constantly looking for better ways to build things and excited to learn about emerging technologies.
Bonus Points:
- Online advertising and/or marketing analytics, behavioral targeting and/or web analytics and a/b testing
- Working in an Agile software development environment.
- Using cloud solutions, preferably AWS.
- Distributed and/or parallel programming.
- An active GitHub repository.
- Experience with data lake and data lakehouse
- Experience with ETL workloads and data pipelines
- Experience with SQL, Terraform, Python packages (Pandas, NumPy, PySpark), ML framework (TensorFlow/Keras, PyTorch, Scikit-learn, etc), Databricks, Airflow, ML pipeline frameworks (Flyte, MlFlow, Ray, TFX)
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Why join Bazaarvoice?
Customer is key
We see our own success through our customers’ outcomes.
We approach every situation with a customer first mindset.
Transparency & Integrity Builds Trust
We 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 Performance
Our 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 Imitation
We seek to innovate as we are not content with the status quo.
We embrace agility and experimentation as an advantage.
Stronger Together
We 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.
