
About Attentive
Personalized SMS marketing for eCommerce success
Key Highlights
- Raised $863M in funding across multiple rounds
- Headquartered in Flatiron District, New York, NY
- Over 1,000 employees driving innovation in mobile marketing
- Expanding into international markets including the UK and Australia
Attentive is a leading eCommerce SMS marketing platform headquartered in the Flatiron District of New York, NY. With over 1,000 employees, Attentive has raised $863 million in funding through multiple rounds, including a Series D round, and serves a diverse clientele by enabling brands to create per...
🎁 Benefits
Attentive offers a competitive benefits package that includes a 401(k) plan with a company match up to $1,500 annually, equity for all employees, and ...
🌟 Culture
Attentive fosters a culture focused on innovation and data-driven strategies, enabling brands to thrive in the evolving eCommerce landscape. The compa...
Skills & Technologies
Overview
Attentive is hiring a Staff Machine Learning Engineer to develop advanced ML models that predict customer behaviors in real-time. You'll work with technologies like Python and TensorFlow to enhance personalized shopping experiences. This position requires a strong background in machine learning and experience in building scalable models.
Job Description
Who you are
You have a strong background in machine learning engineering, with experience in developing and deploying advanced ML models that enhance user experiences. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build robust machine learning solutions. You thrive in collaborative environments, working closely with product management and engineering teams to implement end-to-end modeling use cases. Your analytical mindset allows you to derive insights from data, driving improvements in customer engagement and personalization strategies.
You are self-driven and highly motivated, eager to contribute to a high-performance culture that values innovation and creativity. You understand the importance of real-time behavioral insights in shaping customer interactions and are passionate about leveraging technology to create authentic relationships between brands and consumers. You have a track record of working in fast-paced environments and are comfortable navigating the complexities of machine learning projects.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as it will help you manage and scale machine learning infrastructure effectively. Familiarity with data engineering concepts and tools will also enhance your ability to collaborate with data teams and ensure data quality for model training.
What you'll do
As a Staff Machine Learning Engineer at Attentive, you will play a crucial role in powering personalized experiences for millions of customers across various brands. You will be responsible for designing and implementing machine learning models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. Your work will involve collaborating with product management and engineering teams to identify modeling use cases and develop solutions that drive performance and revenue.
You will contribute to the development of the machine learning infrastructure, ensuring that it meets the needs of the organization as it scales. This includes optimizing existing models and exploring new algorithms to enhance predictive capabilities. You will also be involved in conducting experiments to validate model performance and iterating on designs based on feedback and results.
In addition to technical contributions, you will mentor junior engineers and share your expertise with the team, fostering a culture of learning and growth. You will have the opportunity to work with some of the most talented machine learning engineers in the industry, collaborating on innovative projects that redefine marketing personalization.
What we offer
Attentive provides a dynamic work environment where you can thrive and grow your career in machine learning. We offer competitive compensation and benefits, including opportunities for professional development and continuous learning. Our culture emphasizes collaboration, creativity, and a commitment to excellence, making it an exciting place to work. Join us in redefining the way brands connect with their customers through cutting-edge AI technology.
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