Senior Machine Learning Scientist at Appier | Tokyo

AppierTokyo, Japan

On-site Full-time

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Experience Level

Senior

Qualifications

We are seeking candidates who hold a Master’s or PhD degree in Computer Science, Machine Learning, Statistics, or a related field. Ideal applicants will have proven experience in machine learning and data analysis, strong programming skills in Python or R, and a demonstrated ability to solve complex problems with a data-driven approach.

About the job

About Appier

Appier is an innovative software-as-a-service (SaaS) company leveraging the power of artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with the vision of democratizing AI, Appier is dedicated to transforming AI into tangible returns on investment (ROI) through intelligent software solutions. With 17 offices strategically located across the APAC, Europe, and the U. S., Appier is proud to be listed on the Tokyo Stock Exchange (Ticker number: 4180). Learn more at www.appier.com.

The Impact You’ll Make at Appier

We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is at the forefront of developing essential machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates on a massive scale, processing millions of queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this pivotal role, you will construct an identity graph to enrich a unified customer profile and identify high-value users to drive return on ad spend (ROAS) through advanced machine learning models.

What You’ll Work On

Utilize scientific methodologies to develop an identity graph and pinpoint high-value users.
Lead online experiments aimed at continuously enhancing ROAS.
Manage projects independently, demonstrating ownership and accountability.
Collaborate with product stakeholders and backend/frontend teams to deliver effective measurement solutions for our clients.

What We’re Looking For

A Master’s or PhD degree in Computer Science, Machine Learning, Statistics, or a related field.
Proven experience in machine learning and data analysis.
Strong programming skills in Python, R, or similar languages.
Excellent problem-solving abilities and a passion for data-driven decision making.

About Appier

Appier is a pioneering SaaS company that utilizes artificial intelligence to transform business decision-making, striving to make AI accessible and profitable for all. With a substantial global presence and a commitment to innovation, Appier is dedicated to delivering intelligent software solutions that drive real business outcomes.

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Heartstrings Pet Hospice, In-Home Euthanasia & Aftercare

Part-time|Remote|Jersey Village TX

Join Heartstrings Pet Hospice and experience the fulfillment of providing compassionate end-of-life care to pets and their families. As a Part-Time In-Home Veterinarian serving Jersey Village and the Greater Houston area, you will have the opportunity to reconnect with pet families and deliver the quality care you’ve always envisioned, with ample appointment times and limited administrative responsibilities.At Heartstrings Pet Hospice, we understand the significance of supporting pets during their final moments by offering in-home euthanasia services. Founded by veterinarians, we are dedicated to fostering deep and meaningful relationships with pet families, colleagues, and our local community. Join our nurturing environment where you can flourish both professionally and personally.Why Heartstrings Pet Hospice?Make a significant impact with an average of 3-4 appointments dailyReceive heartfelt gratitude and appreciation from familiesEnjoy the flexibility of a mobile practice, free from clinic constraintsAccess comprehensive training and ongoing mentorshipAchieve a true work-life balance with flexible scheduling options (2-5 days per week, with most appointments from 9 am to 5 pm)Engage in team-building activities and retreats

Mar 1, 2026

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