Search jobs > San Jose, CA > Machine learning engineer

Machine Learning Engineer, TikTok Multimedia

TikTok
San Jose, California, US
$145K-$250K a year
Full-time

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, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

Why Join Us

Do not wait to apply after reading this description a high application volume is expected for this opportunity.

Creation is the core of TikTok's purpose. Our platform is built to help imaginations 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.

About the Team

TikTok is a platform connecting creation and consumption. On this platform, there are massive creators and hundreds of millions of consumers creating and consuming content every day.

Around this content flow pipeline, there are many very challenging engineering and algorithm problems. We are committed to making this architecture more intelligent and efficient through an algorithm-driven approach.

Responsibilities :

  • Design and apply machine learning algorithms and intelligent strategies to optimize the experience of TikTok LIVE users and cost efficiency.
  • Conduct offline and online experiments, analyze data-driven results, and evaluate to improve algorithms and strategies.
  • Follow up on the latest research progress in the fields of related areas and recommendation / search / ads systems.
  • Work closely with colleagues in product, engineering, and data teams to accomplish business goals.

Qualifications

  • Master's degree in Computer Science or a related technical discipline.
  • 3+ years of experience in one or more of the following areas : machine learning, data mining, recommendation / search / ads systems, or other related areas.
  • Solid experience with data structures and algorithms, and solid development experience through hands-on coding in a general programming language.
  • Familiar with one of the mainstream AI dev frameworks, like TensorFlow, PyTorch, etc.
  • Fast business understanding and collaborative teamwork.
  • Published papers in high-level conferences (NIPS, AAAI, ICML, ICLR, etc.) or having competition experience is preferred.

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 [email protected].

Job Information : For Pay Transparency

For Pay Transparency

The base salary range for this position in the selected city is $145,000 - $250,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, 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.

  • 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.

J-18808-Ljbffr

3 days ago
Related jobs
Promoted
TikTok
San Jose, California

Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning products;. The team is made up of machine learning researchers and engineers, who support and innovate on production recomme...

Promoted
Pinterest
Palo Alto, California

In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team. Lead the tech direction and responsible for the development of state-of-the-art applied machine learning projects for the ads conve...

Promoted
TikTok
San Jose, California

We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce. Building the intent classifier in a full-stack manner by de...

Promoted
Apple
Sunnyvale, California

In this role, you will be directly involved in our Cellular Modem firmware machine learning efforts, collaborating alongside our internal multi-functional teams and using your expertise in machine learning to improve device performance across diverse modem functions. Have practical experience and kn...

Promoted
TikTok
San Jose, California

Adapt standard machine learning methods to best exploit modern parallel environments (e. Be a go-to person to escalate the most complex online/production performance and evaluation issues, requiring an in-depth knowledge of how the machine learning system interacts with surrounding systems. Develop ...

Promoted
Google
Mountain View, California

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e. In this role, you'll be responsible for developing the machine learning system and models that power the Pixel audio advancements, particularly LLM fine tuning and leveraging Gemini for audio use ...

Promoted
TikTok
San Jose, California

We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the b...

Promoted
NLP PEOPLE
Cupertino, California

The Foundation Model Infrastructure team, within the Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence. Mentor and guide engineers in the organization. Familiar with fundamental deep learning architectures such as Transformers and Encoder/Decoder models. ...

Promoted
Samsung Electronics America
Mountain View, California

As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a tal...

Acceler8 Talent
Palo Alto, California

Master the Future of AI: Lead Pretraining as a Research Engineer in Palo Alto, CA. Research engineers in this role focus on developing large-scale training datasets, optimizing pretraining processes, and innovating on model architectures to push the boundaries of what our models can achieve in enter...