Source Job

• Design and deploy complex ML systems to improve ad performance.
• Collaborate with global teams to refine algorithms for ad targeting and relevance.
• Apply cutting-edge ML approaches to enhance ad performance and optimize revenue.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
• Design ranking algorithms that balance relevance, diversity, and revenue.
• Run statistically rigorous A/B tests to measure true business impact.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale. Design ranking algorithms that balance relevance, diversity, and revenue. Partner with product, engineering, and analytics to launch high-impact personalization features.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. Architect complex systems while mentoring others and collaborating across organizations.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Establish the technical vision for personalization.
• Solve the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.
• Design and implement advanced ML solutions using cutting-edge techniques .

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Technical visionary for personalization and optimization systems.
• Define ML architecture and solve hard technical challenges.
• Influence ML strategy across the company.

Launch Potato is a digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI.
• Own the end-to-end development of production-grade ML models and collaborate with Machine Learning Engineers.
• Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data.

StackAdapt empowers marketers to reach, engage, and convert audiences. They are a remote-first company with a diverse and inclusive team of collaborative, hardworking individuals.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

Build backend and pipeline systems that turn models into real search experiences for 110M+ daily users, owning data flows, ranking and retrieval services, and low-latency model-serving APIs. Integrate models into production through robust interfaces and DAGs, enabling fast iteration and powering discovery across the internet’s largest community platform. Ensure pipelines and systems support high scale, low latency, and operational excellence.

Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

Shape the future of AI-powered search across all OLX verticals. Lead the design and evolution of OLX’s Search AI Platform, developing LLM- and GenAI-based systems that power discovery and relevance. Mentor and inspire data scientists and ML engineers across OLX’s global hubs, sharing best practices and shaping the future of applied ML at scale.

At OLX, we work together to build a more sustainable world through trade.

• Deliver a project that helps generalize model configuration and enables no-code model deploys.
• Own the design and implementation of significant scalability improvements and additions to the ML platform.
• Power replenishment decisions on more than 15% of all produce sold in the United States.

Afresh is on a mission to eliminate food waste and increase access to fresh, nutritious food with the first fresh technology platform built to solve the biggest challenges in the fresh supply chain. They are partnered with some of the largest grocers in the US and have raised over $148 million in funding from investors.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

• Lead the full ML model lifecycle from feature engineering to ongoing improvement.
• Architect and implement scalable ranking and personalization models using ML frameworks.
• Collaborate with Product and Data Engineering to translate business needs into user impact.

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models. Develop frameworks and platform to build, deploy, serve and monitor ML-based services. Contribute to vision and architecture to scale ML solutions at QuintoAndar's business.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, guided by a shared purpose of helping people love the place they live.

Own the vision, strategy, and roadmap for Fetch’s ML-driven ads ranking and personalization systems across all surfaces. Define the optimization framework balancing Fetch’s goals, advertiser objectives, and consumer experience ensuring ranking improves overall marketplace health. Partner with cross-functional PMs to translate advertiser outcomes (e.g., reach, ROAS, purchases) into ranking objectives and optimization strategies.

Fetch empowers consumers to live rewarded throughout their day through their rewards app, by allowing users to earn rewards for buying brands they love.

Continuously improve the performance and scalability of ML models. Build and deploy models from inception to live in production pipelines. Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research.

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development.

Lead a team of ML engineers building next-generation personalization and optimization systems. Balance hands-on technical work with team leadership, driving both technical excellence and business impact. Architect complex systems while mentoring others and collaborating across organizations.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Build, maintain and improve Torc ML frameworks.
• Use Terraform, AWS Managed Services, EKS, Ray.
• Focus on data ops, ML development pipeline, logging & aggregation.

Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.

• Build the core Machine Learning foundations that power Nova’s agentic experiences.
• Design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.
• Develop generalized evaluation frameworks for LLM- and agent-based features.

Iterable is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Mercor is building the talent engine that helps leading labs and research orgs move AI forward.