How you will make an impact:

As a Senior Machine Learning Engineer at Iterable, you will be leading data projects to launch new machine learning products and improve the predictive features in our core platform. We serve large and small companies spanning many different industries and have the opportunity to work with large and diverse data sets. You’ll also get to influence the decisions and policies we adopt as a company in this exciting era of AI.

One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please do apply, as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

• Collaborate with engineers, product managers, and cross-functional development teams to integrate AI/ML technologies into product offerings that will allow customers to better target and personalize messages
• Evaluate and validate algorithm performance to ensure reliability, robustness, and generalization across datasets and scenarios, and present them to stakeholders
• Develop, and maintain machine learning pipelines for Iterable’s suite of data products using Spark, Scala, and Python
• Own end-to-end ML development from prototyping to deploying to production to enable AI features at scale
• Decide when to use out-of-the-box solutions vs. building custom solutions and utilizing both
• Work closely with other machine learning and data platform engineers to improve the tools and processes used for developing data products
• Mentor junior engineers, providing guidance, support, and technical leadership in AI algorithm development and best practices, especially in the deep learning and language modeling space
• Maintain expertise in the latest advancements in AI technology, exploring innovative approaches and techniques for practical application

We are looking for people who have:

• Masters or PhD in CS, Math, Physics, or similar engineering/science discipline or equivalent practical experience
• Experience with machine learning algorithms and tools, artificial intelligence, deep learning, natural language processing, or other ML disciplines
• Expertise with data exploration, visualization, and SQL queries
• Experience with large-scale data and commercial ML platforms
• Prior industry experience building end-to-end machine learning systems and shipping to production
• Proficiency in problem-solving and analytical skills, with proven experience in innovating solutions for complex challenges
• Strong communication skills and are adept at conveying technical concepts to non-technical stakeholders and collaborating across teams.

Bonus Points

• Scala (or other functional) programming experience
• Databricks or AWS experience
• Exposure to marketing technology

Perks & Benefits: 

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $206,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.