Software Engineer - Machine Learning

Taraki Introduction

Taraki Leading recruitment agency is looking to hire a First Machine Learning Engineer on behalf of its client. The client operates with a focus on making a meaningful impact for its customers. They believe in approaching challenges with a firstprinciples thinking mindset moving quickly embracing the value of efficient execution and treating each other with compassion and kindness. The client looks for team members who are strong communicators have a growth mindset and are motivated and persistent in achieving goals.

Company Description

The clients mission is to empower everyone to take action on their data. Through our Reverse ETL platform business and data users can seamlessly sync data from its source such as warehouses and databases to where its needed including operational systems and SaaS tools. Traditionally acting on data has required significant engineering time and resources leaving many business users reliant on static charts and reports without the ability to automate actions based on their data. Every business user can now activate data to streamline critical processes enhance marketing performance and scale operations all achieved without the need for coding.

Role Description

First Machine Learning Engineer as we expand our data activation products to include an intelligence layer. Currently hundreds of companies use our platform to sync data into their SaaS systems automating and improving operations. However theres significant untapped potential in helping companies determine which customers to message what content to include in messages and when to send them. Much of this decisionmaking currently relies on manual intuition and guesswork. We believe that integrating machine learning could significantly enhance outcomes for our customers. Leveraging our access to data warehouses and databases we are wellpositioned to harness a companys customer data and build a robust intelligence layer.

Role Responsibilities

• Personalization and Product Recommendation: There are often many options for what content a company could message a user with including which products to show from catalogues. Given this large state space how can help personalize messages with the most relevant content for each user
• Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
• Predictive Audiences: Building models to predict which users are most likely to convert churn or take desired actions.
• Content Generation: Particularly with recent advances in LLMs how can we help marketers generate text images and creative that are compelling to their customers
• Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions and where the marginal CAC is lowest.

Type: Remote

Salary: $200k $250k
Equity: Competitive equity
Visa sponsorship available: Can Sponsor
Remote Work policy: North America
Fulltime position: This is a full time W2 role

Remote Work :

No