Senior AI Engineer

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October 27

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Constant Contact

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Marketing • SaaS • B2B

Constant Contact is a company that provides digital marketing tools to help businesses grow through email marketing, SMS marketing, social media marketing, and more. They offer features such as AI-powered writing assistance, email templates, automation, integrations with other apps, and reporting tools to track campaign success. They cater to various clients including franchises, enterprises, agencies, and small businesses. They aim to boost business by building deeper relationships with important audiences through their comprehensive suite of marketing tools.

1001 - 5000 employees

Founded 1998

☁️ SaaS

🤝 B2B

💰 $400M Private Equity Round on 2021-02

📋 Description

• Emphasis on building and shipping new software features via modern, high-leverage AI/ML approaches, such as parameter-efficient fine tuning of large foundation models • Gain understanding of the unique data assets available at Constant Contact, a pioneering internet marketing company with a multi-decade legacy, and identify corresponding value-add through AI/ML models and applications • Collaborate with PMs and Engineering leadership to understand business needs, and design and implement technical solutions that move the needle at an organizational level • Utilize and configure advanced observability tools and partner closely with business stakeholders to ensure insights are leading to action • Be a key contributor to a cross-functional, agile product delivery team • Continuously research and experiment with state-of-the-art AI models, techniques and tools to drive innovation, both within our product and within the larger organization • Articulate engineering design strategies related to scalability, performance, security, usability, and development platforms • Plan technical direction with multi-year time horizons

🎯 Requirements

• 8+ YOE with a Bachelor's, 5+ YOE with a Master's - experience in AI, Machine Learning and Data Science, or equivalent experience in Software Engineering roles with demonstrated AI/ML emphasis • Extensive experience driving AI/ML projects from conception to production deployment • Experience leveraging large open-weights foundation models towards specialized use cases • Knowledge of modern approaches to large-scale embedding datasets, e.g. vector indexing and search and related infrastructure, methods for clustering of embeddings, etc • Proficiency in Python and experience with machine learning libraries (e.g. PyTorch, etc) • Proficiency with commercial software development practices such as CI/CD, version control (Git), automated and manual testing • Knowledge of machine learning modeling and evaluation methodologies and workflows, including the use of observability platforms for evaluation and monitoring of production systems • Ability to utilize modern AI-assisted coding tools, as well as strong capability in “hands-on” coding • Practical knowledge of essential aspects of AWS platform as related to the delivery of AI/ML models and product features • Strong communicator with the ability to convert data insights into product and business recommendations, and successfully represent those findings to stakeholders.

🏖️ Benefits

• A generous paid time off policy and a competitive benefits package that supports the health and well-being of you and your family • We celebrate one another’s differences. We are proud of our culture of diversity and inclusion, and we're always working hard to strengthen and improve this culture. We have programs in place that bring us together on important issues and provide educational opportunities for all employees. • Join the experts. If you're passionate about supporting businesses and organizations, you won’t find a better spot to share your talent. We’re dedicated to improving the quality of our product from a customer standpoint and have a true desire to enable the success of businesses, non-profit organizations, and community groups. • You’ll have opportunities to grow your career. We encourage and support our team members to learn different aspects of the business, take on stretch assignments, seek coaching opportunities and professional development opportunities.