Machine Learning Engineer 1 (Data Platform)

Introduction to Demandbase: 

Demandbase is the Smarter GTM™ company for B2B brands. We help B2B companies hit their revenue goals using fewer resources. How? By aligning their sales and marketing teams around a combination of their data, our data, and artificial intelligence — what we call Account Intelligence — so they can identify, engage, and focus their time and money on the accounts most likely to buy. 

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”!

We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

About the Role:

Join the Enterprise AI team at Demandbase as a Machine Learning Engineer (IC-3) to independently deliver impactful AI/ML solutions. Focus on feature milestones, system components, and collaboration with cross-functional teams. Be hands-on with GenAI, LLMOps, and multi-agent systems to create scalable and innovative solutions.

Key Responsibilities

1. Feature Delivery & GenAI/ML System Architecture
• Own end-to-end delivery of AI/ML features from design to deployment.
• Propose and implement scalable architectures to improve performance and maintainability.
• Develop multi-agent architectures for complex AI workflows.
• Design and deploy scalable LLMOps pipelines for Generative AI solutions.
2. NLP & Data Science
• Utilize tools like SpaCy, NLTK, and transformers for text analytics and conversational AI.
• Collaborate with data scientists to productionize models.
• Optimize data workflows with Spark, Pandas, and SQL/NoSQL databases.
3. Technical Excellence
• Apply expertise in Python, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data tools (Spark, Pandas, SQL/NoSQL).
• Troubleshoot and refine AI/ML solutions to improve code quality and engineering velocity.
• Ensure production readiness through monitoring, documentation, and optimization.
4. Operational Excellence
• Monitor and optimize AI systems for performance, reliability, and ethical AI practices.
• Implement CI/CD, model versioning, and automation for scalability and reliability.
• Document workflows and create playbooks for reusable solutions.
• Ensure compliance with security and reliability standards.
• Participate in on-call rotations (if required) to maintain system stability.
5. Collaboration & Mentorship
• Mentor junior engineers through design/code reviews and troubleshooting support.
• Build cross-functional relationships, facilitate discussions, and align on solutions.
• Proactively improve processes and streamline team workflows.

Basic Qualifications

• 5+ years of experience in ML engineering or related fields.
• Proficiency in Python (e.g., Pandas, NumPy) and familiarity with C++, or Java.
• Hands-on experience with Kubernetes, Docker, MLflow and CI/CD pipelines.
• Experience with NLP frameworks (SpaCy, NLTK, transformers).
• Expertise in SQL/NoSQL databases.
• Strong foundation in software design, architecture, and problem-solving for AI/ML systems.

Good to Have Qualifications

• Experience with Terraform, Kubeflow, or similar other tools.
• Familiarity with Generative AI platforms (Hugging Face, OpenAI) and multi-agent systems.
• Expertise in Apache Spark, and ethical AI practices.

What You’ll Gain

• Hands-on experience with cutting-edge AI/ML and MLOps technologies.
• Opportunities to mentor, lead projects, and solve complex technical problems.
• A collaborative, innovative culture with continuous learning opportunities.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion require ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.