Personalized SMS marketing for eCommerce success
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...
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 ...
Attentive fosters a culture focused on innovation and data-driven strategies, enabling brands to thrive in the evolving eCommerce landscape. The compa...
Attentive • San Francisco, CA
Attentive is hiring a Senior Machine Learning Engineer to build and scale production-grade ML systems for personalized marketing experiences. You'll work with Python and frameworks like TensorFlow and Keras. This role requires significant experience in machine learning engineering.
You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying production-grade ML systems. You understand the intricacies of real-time data processing and have a proven track record of delivering impactful machine learning solutions. Your expertise in Python is complemented by your familiarity with frameworks such as TensorFlow and Keras, allowing you to create robust models that drive personalization.
You thrive in collaborative environments, working closely with product and engineering teams to translate business needs into technical solutions. Your ability to communicate complex concepts clearly makes you an effective partner in cross-functional discussions. You are passionate about leveraging AI to enhance customer experiences and are always looking for ways to improve existing systems.
You are detail-oriented and have a strong analytical mindset, enabling you to identify opportunities for optimization and innovation within machine learning workflows. You are comfortable with experimentation and understand the importance of data quality and feature engineering in developing successful models. You are also committed to staying updated with the latest advancements in machine learning and AI technologies.
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with MLOps practices. You may have contributed to open-source projects or have a portfolio showcasing your machine learning work, demonstrating your commitment to the field.
As a Senior Machine Learning Engineer at Attentive, you will play a pivotal role in enhancing our AI marketing platform. You will be responsible for designing, building, and scaling machine learning models that deliver personalized experiences to our customers. Your work will directly impact how brands connect with their audiences through SMS, email, and other channels.
You will collaborate closely with product managers and engineers to define project scopes and deliverables, ensuring that machine learning solutions align with business objectives. You will also be involved in the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
In this role, you will have the opportunity to mentor junior engineers and contribute to the technical growth of the team. You will lead initiatives to improve our machine learning infrastructure, focusing on scalability and performance. Your insights will help shape the future of our personalization engine, driving innovation and enhancing customer engagement.
You will also participate in regular code reviews and technical discussions, fostering a culture of knowledge sharing and continuous improvement within the team. Your contributions will be crucial in maintaining the high standards of quality and reliability that Attentive is known for.
At Attentive, we value our employees and strive to create a supportive and inclusive work environment. We offer competitive compensation packages, including salary and benefits that reflect your skills and experience. You will have the flexibility to work remotely, allowing you to balance your professional and personal life effectively.
We encourage you to apply even if your experience doesn't match every requirement. Our team is dedicated to fostering a culture of growth and learning, and we believe that diverse perspectives lead to better outcomes. Join us in redefining the way brands and people connect through innovative AI solutions.
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