135 jobs for "Machine Learning Engineer - TikTok-Data-Search-Search Quality"

Software Engineer - Intern (TikTok BRIC) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Nov 7

View job Apply on company site

AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)

At Capital One - McLean · Cambridge

Posted on Nov 8

View job Apply on company site

Principal Engineer, UAIS

At Uber - San Francisco · Sunnyvale

Posted on Nov 3

View job Apply on company site

Senior AI Engineer - Finance

At Bechtel - Washington

Posted on Nov 6

View job Apply on company site

Senior Feature Engineer

At General Motors - Austin · Mountain View

Posted on Nov 6

View job Apply on company site

Software Engineer - AI

At PNC - Pittsburgh

Posted on Nov 7

View job Apply on company site

Senior Software Development Engineer - Big Data

At Zillow - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Software Engineer

At GE Vernova - Chennai

Posted on Nov 4

View job Apply on company site

GenAI Engineer

At Infosys - Charlotte

Posted on Nov 4

View job Apply on company site

C++/Python Software Engineer

At Cadence - Shanghai

Posted on Nov 2

View job Apply on company site

Computational Imaging Scientist

At Leidos - San Diego

Posted on Nov 6

View job Apply on company site

Staff ML Systems Engineer

At General Motors - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Research Engineer, Agentic Video Editing - TikTok

At TikTok - San Jose

Posted on Nov 6

View job Apply on company site

Senior Lead Software Engineer Cloud Platforms

At JPMorgan Chase - Jersey City · Palo Alto

Posted on Nov 3

View job Apply on company site

Software Engineer (Display YTG eBEAM )

At Applied Materials - Tainan

Posted on Nov 4

View job Apply on company site

Technology Analyst

At Infosys - Mississauga

Posted on Nov 3

View job Apply on company site

AI Engineer - Finance

At Bechtel - Washington

Posted on Nov 6

View job Apply on company site

AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)

At Capital One - McLean · San Francisco

Posted on Nov 8

View job Apply on company site

Staff Software Engineer - Streaming Data Platform

At Uber - Sunnyvale · San Francisco

Posted on Nov 3

View job Apply on company site

Software Engineering & AI Intern

At Leidos - Odenton

Posted on Nov 5

View job Apply on company site

TikTok

Software Engineer - Intern (TikTok BRIC) - 2027 Start (PhD)

San JosePosted yesterday

Apply on company site View full job

Responsibilities

"Business Risk Integrated Control (BRIC) is a global team protecting ByteDance users, platform health, and the authenticity of community and business ecosystems. We build the risk control algorithms, AI technologies, platforms, and infrastructure behind that work, across products including TikTok, CapCut, Lemon8, and Lark.

Our work spans account and content integrity, and safety across advertising and e-commerce. We apply machine learning across areas such as graph learning, anomaly detection, and multimodal models to understand users, content, behavior, and the relationships between them. The challenge is recognizing genuine activity accurately, so the people using our products never notice the systems working.

You will shape the trust, safety, and sustainable growth of ByteDance's global platforms, applying advanced AI to some of the hardest real-world problems in the field."

Program Intern (Conversion-Oriented): for graduating students who are looking for full-time conversion as the primary objective.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities:
- Engine performance, continuously improved by Agents: Build agent workflows that profile the risk engine, identify performance bottlenecks (latency, CPU, memory, cost), propose and verify optimizations, and detect performance regressions. Explore RSI (Recursive Self-Improvement) loops - propose, benchmark, evaluate, iterate - so optimization becomes a sustained, closed-loop process rather than one-off tuning.
- Proactive rule governance by Agents: Design agents that actively audit the rule base across its lifecycle - detecting redundant, conflicting, expired, or low-value rules, analyzing online impact, and generating safe change or decommission proposals with human-in-the-loop approval, rollback, and audit trails.
- Agent platform and evaluation foundations: Contribute to the shared capabilities these agents depend on: tool use and workflow orchestration, evaluation benchmarks and guardrails, observability, and safety controls - and take prototypes to production landing with measurable impact.

Qualifications

Minimum Qualifications:
- Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science or a related technical discipline.
- Solid programming skills, proficient in one of the languages (Python / Go / C++ / Java), with good software engineering practices.
- Strong foundation in machine learning and data analysis; rigorous experimental methodology - defining metrics, running controlled comparisons, and drawing defensible conclusions.
- Strong sense of ownership, proactive, and effective in communication; able to work in an English-speaking, cross-functional environment.

Preferred Qualifications:
- Research or engineering experience in LLM agents, self-improving / self-evolving systems (RSI), automated code or performance optimization, program synthesis, or reinforcement learning; Publications at top venues are a plus.
- Experience with large-scale backend or infrastructure systems - performance profiling and optimization, distributed systems, rule engines, feature / factor platforms, or risk control systems.
- Experience building agent evaluation, observability, or safety / guardrail mechanisms for production LLM systems.
- Open-source contributions, competition results, or prior research internships in related areas.
- Hands-on experience of building with LLMs/Agents is a big plus - e.g., tool and function calling, RAG, multi-step agent workflows, prompt and context engineering - through research, projects, or prior internships.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science or a related technical discipline.
- Solid programming skills, proficient in one of the languages (Python / Go / C++ / Java), with good software engineering practices.
- Strong foundation in machine learning and data analysis; rigorous experimental methodology - defining metrics, running controlled comparisons, and drawing defensible conclusions.
- Strong sense of ownership, proactive, and effective in communication; able to work in an English-speaking, cross-functional environment.

Preferred Qualifications:
- Research or engineering experience in LLM agents, self-improving / self-evolving systems (RSI), automated code or performance optimization, program synthesis, or reinforcement learning; Publications at top venues are a plus.
- Experience with large-scale backend or infrastructure systems - performance profiling and optimization, distributed systems, rule engines, feature / factor platforms, or risk control systems.
- Experience building agent evaluation, observability, or safety / guardrail mechanisms for production LLM systems.
- Open-source contributions, competition results, or prior research internships in related areas.
- Hands-on experience of building with LLMs/Agents is a big plus - e.g., tool and function calling, RAG, multi-step agent workflows, prompt and context engineering - through research, projects, or prior internships.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

View company profile