Senior Machine Learning Engineer 

Job Summary:

Caden’s mission is to create an equitable and fair data economy online by giving users ownership of their personal data, the ability to securely control it, and various ways to put it to work to create value with brands they trust, while always preserving their privacy.

We’re led by industry veterans, backed by powerhouse investors (almost $25M total investment), and powered by an extremely talented, experienced and diverse team. 

As we continue to expand, we are seeking a dynamic and results-driven Sr ML Engineer to contribute to the building, scaling, and launching of Caden’s AI and Data products to serve multiple client use cases at scale. 

This position will report to the Lead Data Scientist and will be an integral part of the Data & AI organization. You will be responsible for leading a team of data scientists, data engineers and machine learning engineers to bring our AI and Data Science vision to life. Your expertise will drive the development and enhancement of our products/services that will generate business value to our business, clients and our users.

What You'll Do

• Participate in strategic planning and be responsible for building and scoping the ML roadmap and its execution.
• Regularly present ideas and solutions to executive leadership as well as external stakeholders. 
• Contribute to the development of ML and AI products that address clients business challenges and needs.
• Stay updated with the latest research and advancements in machine learning and AI to identify opportunities to apply them to enhance our products/services.
• Combine traditional ML methods with latest AI advancements and our Knowledge Graph (Ontology) that is central to our platform and AI capabilities.
• Design and implement innovative machine learning algorithms that solve complex problems and provide actionable insights.
• Apply advanced statistical and ML techniques to analyze large and complex data sets, extracting meaningful patterns and to enrich the quality and coverage of our data.
• Ensure proper DataOps and MLOps practices are implemented so that data pipelines are efficient, reliable, and optimized for machine learning tasks.
• Develop and maintain a deep understanding of industry trends, emerging technologies, and best practices in machine learning and data science.
• Communicate technical findings and insights to both technical and non-technical stakeholders in a clear and effective manner.
• Collaborate with cross-functional teams to integrate machine learning models into production systems and monitor their performance.
• Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives.

Required Experience:

• Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• Proven experience in designing, developing, and deploying machine learning models in a real-world setting.
• Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc.
• Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
• Strong programming skills in Python or similar languages commonly used in data science and machine learning.
• Proficiency in SQL and working with large and complex datasets.
• Expertise in machine learning frameworks and libraries (Tensor, Pytorch, sci-kit, Keras, etc.) and their practical applications.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and DevOps practices for deploying machine learning models.
• Strong problem-solving skills and a track record of developing innovative solutions to complex technical challenges.

Preferred Experience:

• Experience with data visualization tools and techniques to communicate insights effectively.
• Experience in AI-based SaaS products
• Experience in client-facing role
• Experience implementing GPT-based solutions for B2B applications

Why Caden?

• Join a high-growth startup that is at the forefront of innovation!
• Opportunity to make a significant impact on the company's strategic and growth trajectory.
• Collaborative and inclusive work environment that encourages innovation and growth.
• Competitive compensation package that includes equity.
• Health & Commuter Benefits.
• Flexible PTO. 
• Hybrid work arrangements.
• In-office work perks such as a plethora of snacks & drinks, pet-friendly environment and more!

This role will work (hybrid) 3 days a week onsite out of our SoHo office.

The salary range for this position is $160,000- $190,000 per year based on candidate qualifications. 

** There is currently no relocation and/or visa (immigration) assistance provided for this position.