Source Job

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.

• 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.

• Optimize ad performance using both mature models and emerging ML technologies.
• Build scalable infrastructure to support real-time ad decisioning across millions of requests per day.
• Collaborate with global teams across product, data, and engineering to launch high-impact ad 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.

• 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.

• 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.

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.

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.

• 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.

• 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.

• Be the founding expert driving the next era of our machine learning and personalization efforts.
• Build and launch high-leverage personalization features from the ground up.
• Be the technical pioneer and strategic leader for ML at Babylist.

Babylist is the leading registry, e-commerce, and content platform for growing families. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Improve existing machine learning systems using coding skills and ML knowledge.
• Identify new opportunities to apply machine learning to different parts of the Quora product.
• Take end-to-end ownership of machine learning systems including data pipelines and model training.

Quora’s mission is to grow the world's collective intelligence with two platforms: Quora and Poe.

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.

• Define and drive multi-year technical strategy for machine learning across Affirm.
• Lead the design, implementation, and scaling of advanced ML systems.
• Provide technical leadership across the ML organization, mentoring senior engineers.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

• 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.

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.

• Lead the vision and delivery of data driven models to optimize the delivery experience.
• Collaborate with business, product, and engineering partners to deliver data science solutions.
• Build data driven, robust and replicable data science models.

Gopuff is a high-growth startup revolutionizing hyper-local instant e-commerce by warehousing and delivering tens of thousands of products quickly. They're assembling a team of motivated people to drive forward their vision and bring a new age of convenience to an unpredictable world.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• 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.

• 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.