Machine Learning Engineer

Introduction to Demandbase: 

Demandbase helps B2B companies hit their revenue goals using fewer resources. How? By using the power of AI to identify and engage the accounts and buying groups most likely to purchase. Our account-based technology unites sales and marketing teams around insights that you can understand and facilitates quick actions across systems and channels to deliver big wins. It’s flexible, scalable ABM built for you.

As a company, we prioritize both the advancement of careers and the development of world-class technology. We invest heavily in people, our culture, and the communities around us. We have offices strategically located in San Francisco and New York in the US, and Hyderabad, in India and we embrace a hybrid work model in these regions. Outside of these areas we offer a remote work option and boast a significant presence in Austin, TX, Atlanta, GA, and London, UK. Continuously lauded as a great place to work, we are Great Place to Work Certified, and have earned distinctions such as "Fortune's Best Workplaces in the Bay Area,"Best Workplaces in Technology," "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 achieving our mission to transform the way B2B companies go 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:

Demandbase is seeking a Data Scientist / Machine Learning Engineer to join our ML/Data Science team, where you’ll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis, modeling, and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects including account ranking, recommendation systems, intent modeling, and ads optimization, developing data-driven models that deliver actionable insights and improve business performance.

In this role, you’ll collaborate with experienced Data Scientists, Machine Learning Engineers, Applied Scientists, Product Managers, Data Engineers, Software Engineers, Designers, UX Researchers, etc. offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in ML/Data Science, with analytical proficiency and interest in practical ML applications, is ideal.

The base compensation range for this position for candidates in the SF Bay Area is: $151,000 - $227,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience.

Location: San Francisco, CA (Remote work considered for highly qualified candidates)

What you’ll be doing:

• Data Exploration and Preparation: Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.
• Feature Engineering and Model Building: Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.
• Model Performance and Validation: Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
• Cross-functional Collaboration: Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
• Communication of Findings: Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.

Project Examples

• Account Prioritization: Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.
• Intent Signal Analysis: Contribute to uncovering and identifying intent signals from behavioral data to improve targeting and personalization.
• Ads Campaign Optimization: Assist in improving our ads pricing models and real-time bidding algorithms to optimize the effectiveness of our ads campaigns. 
• Support Experiments: Set up and support backend and front-end A/B tests to measure performance and support model development and rollout decisions.

What we’re looking for:

• Experience: 2–3 years of experience in machine learning, data science, and analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to experimentation.
• Education: Degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Technical Skills:
• Proficiency in Python and data analysis libraries (Pandas, Numpy)
• Strong SQL skills for data extraction and manipulation
• Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques
• Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)
• Familiarity with Machine Learning Concepts: Experience in building, evaluating, and validating models, with an interest in developing more advanced skills.

Even Better If You Have:

• Experience with Cloud Platforms: Familiarity with Google Cloud Platform or AWS is a plus.
• Scala Experience: Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.
• Personal Attributes:
• Analytical thinker with a detail-oriented approach to problem-solving
• Effective communicator, able to explain complex findings to diverse audiences
• Self-motivated with a strong interest in continuous learning and improvement

• Eager to take ownership of projects and contribute meaningful insights

Benefits:

We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind.

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 requires 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.

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