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• 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.

• 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.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

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.

• 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.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.

• 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.

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 production machine learning models and pipelines end-to-end.
• Lead technical innovation across the data science organization.
• Develop financial models using alternative data sources.

Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.

• 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.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Develop Machine Learning models and pipelines.
• Interact with databases and data infrastructure.
• Conduct in-depth data analytics and build statistical data inference models of biological processes.

Aquabyte is working to revolutionize the sustainability and efficiency of aquaculture through underwater cameras, computer vision, and machine learning.

• 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.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

Mural is pioneering how generative AI transforms visual collaboration and decision-making.

• Partner closely with AI Decisioning customers and internal engineering teams.
• Diagnose model behavior, tune ML levers, and analyze incrementality.
• Explain insights to marketers and executives.

Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets.

• 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.

• Transform specs into efficient, production ready python code.
• Research and build predictive models for the probability of cyber attack.
• Continuously maintain, test and improve models and provide concise reporting of results.

Converge Insurance is an equal opportunity employer that celebrate diversity and are committed to creating an inclusive environment for all employees.

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• 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.