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Online Machine Learning Postdoc Jobs in Seattle, WA

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Online Machine Learning Postdoc information

See Seattle, WA salary details

$26.7K

$59.1K

$78K

How much do online machine learning postdoc jobs pay per year?

As of Aug 10, 2026, the average yearly pay for online machine learning postdoc in Seattle, WA is $59,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $68,300.00 per year, depending on experience, location, and employer.

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are the most commonly searched types of Machine Learning Postdoc jobs in Seattle, WA? The most popular types of Machine Learning Postdoc jobs in Seattle, WA are:
What are popular job titles related to Online Machine Learning Postdoc jobs in Seattle, WA? For Online Machine Learning Postdoc jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Online Machine Learning Postdoc jobs in Seattle, WA look for? The top searched job categories for Online Machine Learning Postdoc jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Online Machine Learning Postdoc jobs? Cities near Seattle, WA with the most Online Machine Learning Postdoc job openings:

Machine Learning Engineer - E-commerce Risk Control

TikTok

Seattle, WA • On-site

$148K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 242 rated software companies


Job description

Responsibilities
The E-Commerce Risk Control (ECRC) team's mission is : - To protect TikTok e-commerce users, including and beyond buyer, seller, creator; - To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; - Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders. The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop, Fanno) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc. We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors' actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms. Responsibilities: - Invent, implement, and deploy state of the art machine learning algorithms, to respond to and mitigate business risks in Tiktok products/platforms. - Build prototypes and explore conceptually new solutions, define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams - Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes - Develop efficient data querying infrastructure for both offline and online analysis, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries. - Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks. - Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations
Qualifications
Minimum Qualifications - Bachelor's or Master degrees in Computer science, Mathematics, Machine Learning, or other relevant STEM majors (e.g. finance if applying for financial fraud roles). Experience programming in Java, C++, Python or related language - 2+ years of hands on experience in building and delivering machine learning models for large-scale projects. - Track record of developing and implementing models and visualizations using programming and scripting (Scala, Python, R, Ruby, and/or Matlab). - Experience using various forecasting, machine learning and statistical tools and communicating results, plans and/or risks clearly. - Ability to think creatively and solve problems Preferred Qualifications: - A PhD in CS, Machine Learning, Statistics, Operations Research, or relevant field - 3+ years of industry experience in predictive modeling and analysis - Experience collaborating with product, operations and engineering teams is a plus. - Excellent analytical and communication skills and ability to influence stakeholders. - Experience in e-commerce / online companies in fraud / risk control functions
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $148200 - $300960 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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