• Design, implement, and optimize agentic AI components, including tools, memory management, and prompts. • Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale. • Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability. • Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights. • Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes. • Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement. • Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is a senior technical position within a high-impact Ads Marketplace team, responsible for shaping and optimizing the auction and pricing mechanisms that drive ad performance and revenue. You will apply machine learning expertise to improve marketplace efficiency, enhance user experience, and maximize advertiser value. The position requires deep knowledge of ad-tech, large-scale data systems, and end-to-end ML workflows, from feature engineering to model deployment. You will influence technical strategy, lead cross-functional initiatives, and mentor engineers while driving measurable impact across the ad ecosystem. This role offers the opportunity to innovate on high-visibility projects and help define the future of a sophisticated advertising platform. - Lead the strategy, planning, and execution of initiatives focused on ads marketplace, auction, and pricing optimization. - Analyze marketplace dynamics and design algorithms to improve efficiency, relevance, and fairness for all participants. - Oversee end-to-end machine learning workflows, including data ingestion, feature engineering, model training, evaluation, and deployment. - Provide technical leadership and mentorship to both junior and senior engineers, fostering innovation and knowledge sharing. - Collaborate with cross-functional teams such as product, data science, and business stakeholders to align on long-term vision and deliver impactful solutions. - Drive architectural decisions and maintain high standards for code quality, scalability, and performance. Qualifications - 8+ years of experience in industry-level product development, with at least 5+ years focused on large-scale, data-driven marketplace optimization. - Strong expertise in ad marketplace dynamics, auction design, and pricing mechanism optimization. - Proficiency with machine learning frameworks (TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference. - Experience with large-scale data processing and distributed computing systems (e.g., Spark, Kafka, Beam, Flink). - Solid programming skills in Java, Python, Golang, C++, or similar languages. - Demonstrated technical leadership in cross-functional settings, with strong communication, mentoring, and collaboration abilities. - Ability to influence stakeholders and execute on long-term technical and business strategies. Benefits - Competitive base salary ($230,000–$322,000 USD) plus eligibility for equity and potential commission. - Comprehensive medical, dental, and vision insurance. - 401(k) program with employer match. - Flexible vacation, paid parental leave, and global wellness days. - Home office support and personal/professional development funds. - Paid volunteer time off and family planning support.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.