657 jobs for "Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) - AIGC Risk Intelligence"

Senior Machine Learning Scientist, Recommendation (Multiple Positions)

At TikTok - San Jose

Posted on Oct 19

View job Apply on company site

AI QA Engineer

At Apple

Posted on Oct 17

View job Apply on company site

Circuits Implementation Engineer

At Apple - Santa Clara

Posted on Oct 17

View job Apply on company site

CPU Implementation Methodology Engineer

At Apple - Austin

Posted on Oct 17

View job Apply on company site

GTM Systems Manager

At Adyen - Amsterdam

Posted on Oct 17

View job Apply on company site

Senior III-V Integration Engineer

At Apple - San Francisco Bay Area

Posted on Oct 16

View job Apply on company site

Integration Engineer 4 (IBM MQ)

At Capital One - Chicago

Posted on Oct 16

View job Apply on company site

Senior Wireless Standardization Engineer, Wireless Technologies & Ecosystems

At Apple

Posted on Oct 15

View job Apply on company site

Power & Performance Engineer, Audio & Media Technologies

At Apple - Cupertino

Posted on Oct 15

View job Apply on company site

CAD Engineer - Signoff Infrastructure

At Apple - Austin

Posted on Oct 11

View job Apply on company site

CAD Engineer - Signoff Infrastructure

At Apple - Austin

Posted on Oct 11

View job Apply on company site

Manager, Project Manager, Consumer Intelligence

At Capital One - McLean · Richmond

Posted on Oct 11

View job Apply on company site

Full-stack Engineer 4

At Capital One - New York · McLean

Posted on Oct 11

View job Apply on company site

Software Engineer - Traffic (ASE) - Secure Service Networking

At Apple - Seattle

Posted on Oct 10

View job Apply on company site

Integrations Engineer 4, Workday (HCM)

At Capital One - McLean · Plano

Posted on Oct 10

View job Apply on company site

EHS&S Systems Architect

At CSL - Remote / Flexible

Posted on Nov 3

View job Apply on company site

IND IT Application Tech lead

At Alight Solutions - Gurgaon · Noida

Posted on Oct 14

View job Apply on company site

Director, Product Development, AI Enablement

At Capital One - McLean · New York

Posted on Nov 8

View job Apply on company site

Senior Data Analyst - Emerging Payments & AirKey

At Capital One - McLean · New York

Posted on Nov 8

View job Apply on company site

Content Designer, Manager

At Capital One - McLean · Richmond

Posted on Nov 7

View job Apply on company site

TikTok

Senior Machine Learning Scientist, Recommendation (Multiple Positions)

San Jose$255,757 – $387,600Posted 20 days ago

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

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.

About the Team
Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
-Advise on the engineering of video recommendation machine learning (ML) and deep learning algorithms.
-Deliver end-to-end ML solutions to address critical product challenges.
-Own the full-stack ML system and optimize algorithms and infrastructure to improve performance.
-Innovate on optimizing content consumption and user experience.
-Work with cross functional teams and product stakeholders to deliver system and product insights through analytics.
-Mentor junior-level team members.

Qualifications

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
-Using data analysis tools SQL, PySpark, NumPy, or Pandas to handle large-scale datasets;
-Programming using Python and PyTorch to build large-scale learning systems;
-Developing data-driven prediction models using classic statistical methods, machine learning, neural network or deep learning;
-Preparing technical documentation, or publishing conference or journal papers; and
-Project management, including collaborating with cross-functional teams to design, develop, and implement data-driven business strategies.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $255757 - $387600 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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 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 https://tinyurl.com/RA-request

#IND-DNI

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $255757 - $387600 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.

Responsibilities

Qualifications

Qualifications

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
-Using data analysis tools SQL, PySpark, NumPy, or Pandas to handle large-scale datasets;
-Programming using Python and PyTorch to build large-scale learning systems;
-Developing data-driven prediction models using classic statistical methods, machine learning, neural network or deep learning;
-Preparing technical documentation, or publishing conference or journal papers; and
-Project management, including collaborating with cross-functional teams to design, develop, and implement data-driven business strategies.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $255757 - $387600 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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 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 https://tinyurl.com/RA-request

#IND-DNI

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

View company profile