The Trade Desk
Business Development GM (Holdco)
New York, New York, United States•19 days ago
$134K – $245K
business developmentsalesagency
Data Science6 days agoHybrid
DoubleVerify
Manager, Data Science & Research
machine learningdeep learningcomputer visionNLPmultimodalPyTorchTensorFlowscikit-learnOpenCVHuggingFaceLLMsembeddingsfoundation modelsAutoMLactive learningdata-centric AIdata scienceleadershipmodel deploymentautomation
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Lead
Years experience
5-10
Location
Tel Aviv, Israel
Full job description
Lead a team of experienced Data Scientists with ~70% hands-on involvement. Work on large-scale core systems with scarce labels and strict latency/cost constraints. Responsibilities include developing content classification systems for social platforms, web, and apps; designing models in computer vision, NLP, and multimodal pipelines; managing full ML lifecycle from data selection to deployment; developing data curation and labeling strategies; improving model precision/recall balancing cost and latency; driving automation systems; applying modern AI approaches including LLMs and foundation models; mentoring senior Data Scientists; collaborating with ML Engineering, Product, and Policy teams. Requirements: 3+ years leading Data Science/ML teams, 6+ years hands-on ML/DL experience, strong background in Computer Vision and/or NLP, experience deploying production ML systems at scale, understanding of trade-offs in accuracy, cost, latency, hands-on with PyTorch/TensorFlow, ML/DS tools like scikit-learn, OpenCV, HuggingFace, experience with large datasets and evaluation pipelines. Advantages include experience with multimodal systems, LLMs, embeddings, foundation models, AutoML, active learning, and data-centric AI. Role is full-time, hybrid, located in Tel Aviv, Israel.
What you'll do
- Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps
- Design and build models across computer vision, NLP, and multimodal pipelines
- Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment
- Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)
- Improve model quality (precision/recall) while balancing cost, latency, and scale
- Drive automation systems (auto-labeling, auto-curation, retraining loops)
- Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems
- Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward
- Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems
Requirements
- 3+ years of experience leading Data Science / ML teams
- 6+ years of hands-on experience in Machine Learning / Deep Learning
- Strong background in Computer Vision and/or NLP
- Experience building and deploying production ML systems at scale
- Strong understanding of real-world trade-offs (accuracy, cost, latency)
- Hands-on experience with deep learning frameworks (PyTorch / TensorFlow)
- Experience with ML/DS tools (scikit-learn, OpenCV, HuggingFace, etc.)
- Experience working with large datasets and model evaluation pipelines
Tech stack
PyTorchTensorFlowscikit-learnOpenCVHuggingFaceLLMsembeddingsfoundation modelsAutoMLactive learningdata-centric AI
Apply now
This MVP uses a placeholder application flow. In production, this section can connect to an external apply URL or a native application form.
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
TripleLift
Accountant
Detroit, Michigan, United States; New York, New York, United States•19 days ago
$75K – $95K
accountingpayrollcompensation
TripleLift
Associate Campaign Manager
Pune, Maharashtra, India•19 days ago
ad opsprogrammaticcampaign management