Grid: Mobile app for cash advances and tax refund optimization.
Experience in applied machine learning, statistical inference, and model development; bachelor’s or master’s in quantitative field; hands-on Python, PyTorch/TensorFlow and SQL experience; fintech domain knowledge.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
1+ YOEApply machine learning, deep learning, and multimodal AI to large-scale image indexing, selection, ranking, and real-time systems; experience with Big Data tooling and strong research or industry ML results.
Spark, HBase, Hadoop, Cosmos, Autopilot, Azure, Large Language Models (LLMs), Small Language Models (SLMs)
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOERequires PhD or master's degree plus 6+ years applied research, 3+ years building ML models, programming in Java, C++, or Python, deep learning, and managed ML/AI experience.
Red VioletNASDAQ: RDVT: Provide AI-powered identity intelligence and risk management solutions.
3+ YOEMaster’s degree in computer science, AI, or related field; 36 months applied data science or machine learning experience focused on large language models; 2 years in deep learning, AI, Python or C++, AI frameworks, production ML, and scalable solutions.
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science in digital/performance marketing or leadgen; adtech modeling (bandits, recommender, LTV); ML solutions deployed in AWS; expert Python and SQL; strong business impact focus.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Master's or PhD in CS/AI/ML, strong publication record, expertise in image/video understanding and generative models, proficiency in Python and PyTorch, experience with distributed training and large-scale datasets, excellent communication.
Golden Analytics: AI-native business intelligence platform for interactive data analysis.
Proven experience in AI/ML experimentation, LLM tuning and evaluation, model development and fine-tuning, product-oriented mindset, and working with cloud full-stack environments.
Paradigm: A software transforming residential and construction industry operations globally.
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
Qualtrics: Software for managing customer, employee, and product experiences.
7+ YOEPhD or Bachelor's in CS or related field, 7+ years industrial ML/NLP/deep learning research experience, deep learning framework and production ML systems expertise, strong programming and communication skills.
Sia: Provide management and AI consulting for business transformation.
5+ YOE5+ years building and shipping software or AI/ML solutions, hands-on generative AI experience, Python and cloud proficiency, OT/IT integration experience, ability to communicate with business stakeholders.
UiPathNYSE: PATH: Provides robotic process automation software for enterprise workflow automation.
10+ YOEMS/PhD preferred in CS/ML/AI, 10+ years industry ML experience building production ML systems, strong Python, expertise with LLMs/foundation models, distributed training, model deployment, and excellent communication.
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
8+ YOE8+ years building production AI/ML systems with experience in memory and retrieval systems, strong Python and at least one production systems language, and experience shipping LLM-powered or agentic products.
Auger: AI-powered autonomous operating system for global supply chain management.
PhD in relevant field, deep expertise in optimization, machine learning, and large-scale data systems; leadership experience scaling teams; supply chain domain experience; strong communication skills.
The Trade DeskNASDAQ: TTD: Cloud-based programmatic advertising platform for data-driven media buying.
4+ YOERequires Python, SQL, and PySpark proficiency, large-scale data processing, statistics, production data pipelines, and end-to-end data science or machine learning experience. Requires 4+ years with BS/MS or 2+ years with PhD.