Machine Learning Engineer

About The Company

Yobi is a rapidly growing Behavioral AI company dedicated to ethically democratizing the benefits of data and artificial intelligence. Since its inception in 2019, Yobi has developed one of the largest consented behavioral datasets in the United States, extending beyond the confines of traditional Big Tech walled gardens. Unlike conventional large language model (LLM) companies, Yobi focuses on building foundation models of human behavior grounded in real-world actions such as purchases and store visits. Our innovative, private-by-design modeling approach enables state-of-the-art personalization and decision-making for leading brands and agencies while prioritizing privacy, safety, and ethics.

Our current focus is on bringing the performance of closed-web user acquisition to the open web and connected TV, allowing brands to achieve walled-garden results without the barriers. At its core, Yobi is constructing the behavioral intelligence layer for any system that makes personalization decisions, empowering clients with actionable insights derived from authentic human behaviors. Our work is at the intersection of cutting-edge AI, data privacy, and scalable personalization, making us a leader in the Behavioral AI space.

Yobi is well-funded with over five years of runway, and we are scaling rapidly, projecting to reach breakeven by 2026. We have established strategic partnerships with industry leaders such as Microsoft and Databricks and operate in fully remote or hybrid models from hubs in the San Francisco Bay Area, Seattle, and New York City. Our team comprises world-class machine learning experts who have previously worked at Amazon, Uber, Twitter, Meta, and other top-tier technology companies. Additionally, our product and go-to-market teams have successfully taken ideas from concept to generating nine-figure revenue streams.

About The Role

At Yobi, the Applications team is pivotal in translating our User-Behavioral foundation models into market-ready, scalable, and highly profitable products. These products leverage machine learning at their core to deliver continuous value, facilitate ongoing experimentation, and enhance our core embeddings. As an Machine Learning Engineer (MLE) on this team, you will focus on developing and maintaining the models, metrics, pipelines, systems, and services that power Yobi’s Applications products.

This role involves significant "zero-to-one" development, requiring close collaboration with product teams, core signals MLEs, and leveraging your expertise to build holistic ML-powered solutions. While we already have products in the market, we actively seek innovative ideas to expand our impact and reach. The role also entails a substantial "product hat," driving results across multiple domains necessary to deliver comprehensive ML-driven products in a fast-paced startup environment.

Success in this role requires a solid understanding of machine learning principles, especially related to consumer-facing problems such as recommendation systems and personalization—areas where you have contributed directly. You should be capable of engaging with the entire ML pipeline, including data orchestration, build systems, and experiment tracking, using tools like Airflow, Bazel, Github CI/CD, and Spark, even if you haven't used these specific solutions before. Comfort with hands-on work across these systems is essential. Additionally, possessing good product sense and opinions on product-market fit and implementation strategies will help you thrive in this role.

We value attitude, cultural fit, and a passion for our mission above all. If you resonate with Yobi’s vision and believe you can contribute to advancing our products, we encourage you to apply and share how your skills and experience can help shape our future.

Qualifications

• Proven experience working on impactful consumer-facing machine learning problems, such as recommendation systems or personalization.
• Strong understanding of machine learning concepts, even if not published in the field.

Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Hands-on experience with data pipelines, orchestration, build systems, and experiment tracking.
• Familiarity with open-source tools such as Airflow, Bazel, Github CI/CD, Spark, or similar systems.
• Good product sense and the ability to contribute to both product strategy and technical implementation.
• Ability to work collaboratively across teams, including product, data, and engineering.
• Strong problem-solving skills and a proactive attitude.
• Experience in building scalable ML systems in a startup or fast-growing environment is a plus.
  
  

Responsibilities

• Develop, maintain, and optimize machine learning models, pipelines, and systems that underpin Yobi’s Applications products.
• Collaborate closely with product teams and core signals MLEs to deliver impactful ML solutions.
• Contribute to the design and implementation of scalable data orchestration and experiment tracking systems.
• Drive innovation by proposing new approaches and improvements to existing models and pipelines.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Engage in cross-functional communication to translate business needs into technical solutions.
• Participate in the full lifecycle of ML product development, from conception through deployment and monitoring.
• Ensure the privacy, safety, and ethical considerations are integrated into all ML development processes.
• Contribute to a culture of continuous learning, experimentation, and technical excellence.
  
  

Benefits

• Competitive base salary commensurate with experience.
• Meaningful equity and financial upside, providing a real percentage of the company.
• Annual performance-based bonus targeting personal and company achievements.
• Comprehensive health, dental, and vision plans with minimal out-of-pocket costs.
• Unlimited paid time off to promote work-life balance and impact-driven work.
• 401(k) plan with company matching contributions.
• Fully remote