Senior Machine Learning Engineer

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a cl...

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000+ cust...

As a Sr. Machine Learning Engineer at Klaviyo, you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, recommender systems, language modeling, and more to integrate artificial intelligence into our...

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.
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.
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.