Machine Learning Engineer

Job Description

Job Description

Job Title : Machine Learning Engineer (Level II)

Location : Remote

Start Date : ASAP

Foam, part of Whalar Group, is the operating system for managing digital talent. Foam is a suite of intuitive pitching tools and AI-enhanced features powered by real-time, certified metrics from Instagram, TikTok, YouTube, and Snap. Foam empowers managers with the data they need to analyze content performance, inform talent negotiations, and maximize brand opportunities. With over 40,000 Creators and hundreds of millions of integrated data points, Foam streamlines the entire pitching process, eliminating spreadsheets, screenshots, and slides, allowing managers to focus on providing strategic support to their talent. Learn more at foam.io.

About the role :

We're looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You'll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments.

In this role, you'll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You'll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding.

If you're passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact.

Here's what you'll do day-to-day :

• Design and deploy autonomous AI agents , including reasoning loops, memory layers, and orchestration pipelines.
• Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior.
• Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data.
• Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference.
• Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization.
• Partner with product and engineering teams to translate business goals into measurable ML outcomes.
• Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform.

Here's what we're looking for :

The salary range for this role is $150,000 - $160,000 and serves as a general guideline reflecting the potential compensation for the role. The final salary offer will be determined based on a comprehensive evaluation of factors such as the candidate's experience, expertise, alignment with the position's requirements, and ultimately budget approvals .

Our values :

At Whalar, diversity, equity, and inclusion (DEI) isn't just a statement, it's our collective strength. Our people are our superpower. A diverse team and inclusive leadership have shaped Whalar since our inception in 2016, fueling a constant evolution of growth. We champion a culture of respect and empathy, fostering a sense of belonging that transcends demographics. We hire individuals of all backgrounds and empower them to thrive, challenge stereotypes, and actively break societal barriers.

The perks :

Whalar provides flexible benefits and collaborative work environments / experiences, so employees can work productively in a setting that best and uniquely suits their needs.

Whalar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Equal opportunity extends to all aspects of the employment relationship, including hiring, promotions, training, working conditions, compensation, and benefits.