Six Figure Work

Machine Learning Engineers

Jobs for Humanity

Company websitejobsforhumanity.com (Jobs for Humanity, opens in new tab)

Base salary $136,800  to $280,000

Employer-published annual base salary, USD. Advertised base range in United States

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationUnited States
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Company Description

Jobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name: Tiktok

Job Description

Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279

Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

What You Will Do


  1. Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.

  2. Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the platform

  3. Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading

  4. Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote great ecological development



Qualifications

  1. Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style

  2. Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data

  3. Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithms

  4. Able to solve problems independently, good sense of teamwork and communication skills

  5. Experience in search engines, recommendation systems, and computational advertising-related fields is preferred



Job Information

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $136,800 - $280,000 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.



Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account (HSA) with a company match. As well as Dental, Vision, Short/Long Term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. 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.

Source: Jobs for Humanity on SmartRecruiters · View original posting (opens in new tab)

Pay in context

This role's base floor ($136,800) is above 10% of the 1,485 Data & ML roles in California listed on this site. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Jobs for Humanity roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Jobs for Humanity roles with the nearest advertised base floor
RolePublished base
Machine Learning Engineers (this listing)$136,800 - $280,000
Product Research Analysts$141K - $296K
Google Cloud Architects$142K - $211K
NPI Program Managers$130,600 - $179,630
Machine Learning Managers$149,040 - $311,600
Optical Systems Engineers$120K - $130K
Associate Project Managers$119,780 - $182,670

Same $100K to $400K scale as every card. All Jobs for Humanity roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. fields changed
Observed since
Employer-stated posting date
2024-09-25
Where this pay comes from

Location as the employer wrote it: San Jose, CALIFORNIA, United States

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $136,800 - $280,000 annually. Compensation may vary outside of this range depen

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.