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Senior Machine Learning Scientist (Ad Cloud)

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The Senior Machine Learning Scientist will be a part of the Advertising Cloud Optimization team at Appier, which focuses on improving the efficiency and profitability of advertising campaigns through machine learning. This role involves designing and implementing state-of-the-art ML models for bidding, pricing, and personalized content recommendations. The scientist will analyze large-scale data to discover predictive patterns and collaborate with cross-functional teams to deliver impactful solutions while ensuring system robustness and scalability. The role requires experience in CTR prediction and recommendation systems.

Technical Service Engineer (Greater China Region)

<div>About Appier&nbsp; Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit&nbsp;<a href="http://www.appier.com/">www.appier.com</a>&nbsp;for more information. &nbsp; <h4>The Impact You’ll Make at Appier</h4> Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment. <h4>&nbsp;</h4> What You’ll Work On <ul> <li>Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.</li> <li>Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.</li> <li>Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.</li> <li>Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).</li> </ul> <h4>&nbsp;</h4> What We’re Looking For <ul> <li>Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.</li> <li>4+ years of industry experience in ad tech, with a focus on performance optimization.</li> <li>Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.</li> <li>Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).</li> <li>Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.</li> <li>Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).</li> </ul> &nbsp; #LI-AK1</div>

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Meet Elise

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As the VP of Revenue Operations, you will be responsible for building and scaling the infrastructure that powers the go-to-market engine. This includes designing and executing systems, tools, and processes to increase sales efficiency, improve forecasting accuracy, and drive revenue growth across the entire customer lifecycle. You will lead the transformation of the GTM organization with SOTA AI tools, build the RevOps function, own and evolve the revenue tech stack, build a deal desk function, partner with CRO and CFO on sales forecasting, and use data to drive strategic decisions. You will also collaborate cross-functionally to align revenue strategies.

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<div>About EliseAI EliseAI is the leading conversational AI platform for the housing and healthcare industry. We automate the boring, mundane, repetitive tasks, so that staff can focus on more engaging customer interactions. In 2024, we were the fastest growing AI start-up in NYC, our home city. Our philosophy is built around small but highly empowered teams that allow us to execute faster than anyone else. About The Role As the VP of Revenue Operations, you will be responsible for building and scaling the infrastructure that powers our go-to-market engine. You’ll own the design and execution of systems, tools, and processes that increase sales efficiency, improve forecasting accuracy, and drive revenue growth across the entire customer lifecycle.&nbsp; Key Responsibilities <ul> <li>Develop and execute a comprehensive revenue operations strategy across the entire customer life cycle; acquisition, on-boarding, expansion, renewal, and churn</li> <li>Lead the transformation of our GTM organization with SOTA AI tools and processes (Clay, Synthesia, etc.)</li> <li>Design and build the organizational structure of the RevOps function, hiring and developing a high-performing team across systems, analytics, and deal operations</li> <li>Own and evolve our revenue tech stack (e.g. Salesforce, CPQ, integrations) with a focus on automation, scalability, and usability</li> <li>Build and scale a best-in-class deal desk function in partnership with Sales, Legal, and Finance to streamline quoting, contracting, and approvals</li> <li>Partner with CRO and CFO on sales forecasting, goal-setting, and performance management—ensuring high accuracy and accountability across teams</li> <li>Use data to drive strategic decisions and establish clear KPIs for pipeline health, conversion, and rep productivity</li> <li>Ensure data hygiene, process integrity, and compliance across GTM systems</li> <li>Collaborate cross-functionally with Marketing, Product, and Customer Success to align revenue strategies and optimize acquisition, expansion, and retention efforts</li> </ul> Requirements <ul> <li>10+ years of experience in revenue/sales operations, with 5+ years in a leadership role&nbsp;</li> <li>Experience in scaling a hyper-growth startup B2B tech company.</li> <li>Track record of designing and scaling RevOps teams and infrastructure</li> <li>Deep expertise in Salesforce and related GTM tools, with a strong understanding of automation, data management, and AI integration.</li> <li>Strong analytical mindset with a bias for action; fluent in forecasting, sales analytics, and KPI management.</li> <li>Willingness to work in office 4 days a week</li> </ul> Why Join Growth and impact. It’s not often that you can get in on the ground floor of a funded (<a href="https://www.eliseai.com/blog/eliseai-world-leader-in-ai-enabled-solutions-for-housing-raises-75-million-series-d-round-valuing-company-in-excess-of-1-billion">unicorn!</a>) startup that’s scaling. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: <ul> <li>Equity in the company in the form of stock options&nbsp;</li> <li>Medical, Dental and Vision premiums covered at 100%&nbsp;&nbsp;</li> <li>Fully paid parental leave</li> <li>Commuter benefits&nbsp;</li> <li>401k benefits</li> <li>Monthly fitness stipend</li> <li>Our brand new Midtown south office with an open floor plan, fully stocked kitchen, and company paid lunch</li> <li>Fun company social events through our Elise and the City program</li> <li>Unlimited vacation and paid holidays</li> </ul> We'll cover relocation packages from outside of the Greater NYC metro area - we'll make the move exciting, not painful. Job Compensation Range: The salary range for this role is $250,000 - $315,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits &amp; perks package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at <a href="mailto:HR@eliseai.com">HR@eliseai.com</a>. #li-onsite</div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.