Design and implement real-time lane-fusion algorithms that combine multi-source perception and temporal data to produce stable 3D lane and road representations. Research solutions for occlusion, fragmentation, forks/merges, and construction zones. Build a 3D laneline pipeline with camera perception, optimize for low latency and high availability on safety-critical vehicle platforms, and collaborate with cross-functional teams to deploy on target systems.
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are seeking a Machine Learning Data Curation Engineer to spearhead the data pipeline development and dataset management for our core AI initiatives. You will bridge the gap between raw data and robust, high-performance machine learning models by designing intelligent tools for data collection, cleaning, and annotation.
Key Responsibilities:
- Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
- Pipeline Development: Build and maintain scalable data processing pipelines and automated intelligent agents to continuously ingest, clean, and enrich training data.
- Quality & Benchmarking: Define, track, and optimize dataset quality metrics (e.g., diversity, absence of bias) to directly improve ML model performance.
- Annotation & Labeling: Design and manage data annotation workflows, collaborating with domain experts to ensure clear, accurate classification protocols.
- Governance & Compliance: Maintain data provenance, ensure compliance with data governance policies (e.g., GDPR, HIPAA if applicable), and enforce data security measures.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
- Technical Skills:
- Proficiency in programming languages like Python or SQL.
- Experience with Big Data tools and cloud platforms (e.g., AWS, GCP, BigQuery).
- Familiarity with ML frameworks (e.g., PyTorch, Hugging Face).
- Experience: 3+ years managing large-scale datasets, developing data curation heuristics, and working alongside ML researchers or data scientists.
- Analytical Mindset: Strong problem-solving skills to identify data quality anomalies, address model biases, and establish evaluation frameworks.
What do we provide:
- A fun, supportive and engaging environment.
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
XPeng Motors Palo Alto, California, USA Office
Palo Alto, CA, United States, 94301
XPeng Motors San Jose, California, USA Office
San Jose, United States
Similar Jobs
Cloud • Information Technology • Machine Learning
Lead and build a global deal desk to structure, approve, and orchestrate complex enterprise and strategic deals. Define operating model, playbooks, systems, and governance; partner with Legal, Revenue Accounting, Finance Pricing, and sales to ensure pricing quality, contract governance, accurate quoting/booking, fulfillment, and compliant revenue recognition.
Top Skills:
Ai/MlCloud InfrastructureCpqSaaS
Cloud • Information Technology • Machine Learning
Lead CoreWeave's Field Process & Automation Center of Excellence to design end-to-end revenue processes (account-to-pipeline, pipeline-to-forecast, quote-to-cash, deploy-to-consume). Embed AI and automation across the revenue tech stack, enforce data governance and SOX controls, run cross-functional integrations (NPI, M&A), and grow a high-performing team while partnering with RevOps, IT, and regional leaders.
Top Skills:
AIAnalyticsClariCpqCRMGongIntelligent AgentsOutreachRevenue IntelligenceSales EngagementSalesloft
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead ownership and evolution of NBCUniversal's CLM platform (Malbek). Configure workflows, manage roadmap and vendor relationships, gather requirements, design solutions, drive CLM expansion, implement AI-enabled contracting features, support testing and change adoption, and measure adoption and efficiency through KPIs and reporting.
Top Skills:
AgiloftAi-Enabled Contracting ToolsAribaClmIcertisIntegrationsIroncladMalbekMetadata ManagementReportingSemantic SearchSirionWorkflow Automation
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
