Klaviyo Senior Machine Learning Engineer at Klaviyo building large-scale ML models and AI agents to optimize marketing and customer experiences. Focus on deploying deep learning, recommender systems, and language modeling techniques.
Responsibilities
Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers
Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers’ productivity.
Work in high impact environments with fast experimentation and product development cycles
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
Qualification
Experience mentoring othersExperience with recommendation systemsMassachusetts ApplicantsIn addition to base salaryBase Pay Range For US Locations$196
Required
Experience leading technical projects and working with engineering teams and product managers successfully to deliver customer-facing features
Experience of developing and putting machine learning models into production, while also owning and maintaining production models long term
Experience owning the full product lifecycle of ML development, including defining success metrics, designing and analyzing A/B tests, and iterating based on result
Experience mentoring others
Experience with recommendation systems, including designing, training, and deploying recommendation models, as well as building retrieval and ranking systems.
Experience working in B2B businesses and interacting with customers directly
Experience developing technical roadmaps for solving complex business problems using Machine Learning
Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.
Preferred
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Base Pay Range For US Locations:
$196,000—$294,000 USD
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
