Machine Learning Engineer, AI Decisioning
MLabsUnited States6 hours ago
Full-timeRemote FriendlyOther
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Machine Learning Engineer, AI Decisioning (Full-time)
Location: Remote (North America) / San Francisco (Optional)
Salary Range: $200,000 - $260,000 USD
We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.
A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.
Your responsibilities will include working on complex problems such as:
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
Location: Remote (North America) / San Francisco (Optional)
Salary Range: $200,000 - $260,000 USD
We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.
A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.
Your responsibilities will include working on complex problems such as:
- Personalization and Product Recommendation: Designing and implementing models to personalize messages and content (including product catalogs) to ensure the most relevant content is delivered to each individual user
- Automated Experimentation: Developing intelligent systems to help customers efficiently navigate and automate A/B testing and experimentation across a vast number of messaging options
- Predictive Audiences: Building robust models to predict customer actions, such as conversion, churn, or other desired behaviors, to create targeted audiences
- Content Generation: Leveraging recent advancements in Large Language Models (LLMs) to help marketers generate compelling text, images, and creative assets
- Budget Optimization: Creating analytical tools and models to assess which marketing spend drives the most incremental conversions and identifies where the marginal Customer Acquisition Cost (CAC) is lowest
- Experience: 5 - 15 years of professional experience in machine learning and software development
- Domain Expertise: Deep understanding and practical experience building and deploying machine learning models, particularly in areas like personalization, recommendation systems, time-series analysis, or optimization
- Technical Skills: Strong software engineering fundamentals and experience working with large-scale data warehouses/databases
- Communication: Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
- Mindset: A strong first-principles thinking approach to problem-solving, a growth mindset, and a motivated, persistent approach to achieving goals
- Competitive Compensation: Highly competitive salary in the range of $200K - $260K USD
- Equity: Competitive equity package in a high-growth company with a recent $1.2B valuation, backed by leading investors
- Visa Sponsorship: Visa sponsorship is available for qualified candidates
- Work Flexibility: Full-time, remote position supporting work across North America
- Impact: The opportunity to make a meaningful impact by defining the future of AI-powered customer data activation
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
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