Leads technical direction for bio AI research programs, architects AI/computational infrastructure, prototypes modeling systems, and builds high-caliber engineering team. Requires deep ML expertise in generative models, large-scale training, and bio applications with hands-on leadership.

Build and deploy scalable machine learning infrastructure, models, and AI platforms for voice, speech, and natural-language products. The role requires 5+ years in ML or AI, production experience with large-scale data and multi-tenant applications, and expertise in distributed cloud systems.

Leads development of standards and validation frameworks for dynamic structural biology data, focusing on ensemble models from X-ray crystallography and cryo-EM. Collaborates with engineers to build deposition, search, and retrieval infrastructure for the diffUSE Project. Requires PhD in structural biology or related field.

Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.

Principal Data Scientist serves as the statistical authority, translating complex data science insights into actionable narratives for C-suite and Board. Drives data-driven decisions through strategic analyses, methodology standards, and cross-functional influence. Requires PhD and 15+ years experience.

Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.

Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.

The Senior Applied Researcher develops and evaluates AI/ML model systems for healthcare SaaS products, working with structured and unstructured clinical data. The role requires advanced graduate education, industry healthcare ML experience, and hands-on expertise in LLMs, cloud platforms, data engineering, and production deployment.

Senior Applied Researcher develops AI/ML solutions for healthcare challenges, applying GenAI, LLMs, and techniques like RAG to build production-ready models in SaaS environments. Requires Master's in relevant field, healthcare data experience, Python proficiency, and ML frameworks expertise.

Designs, builds, and optimizes large-scale distributed database systems, pipelines, and performance tooling. The role requires expert database architecture and tuning expertise, AWS and Terraform experience, strong cross-functional leadership, and 14+ years of related experience or an equivalent advanced-degree pathway.

Leads a quantitative research function while directly developing and deploying systematic equity and derivatives signals that contribute to live trading P&L. Requires 5+ years of alpha research experience, a STEM degree, strong programming and research-infrastructure fluency, and a proven profitable track record.

Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.

Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.

Develop and integrate Grok AI models into the Ads Platform to power bidding, auction, ranking, prediction, and optimization systems at massive scale. Requires 3+ years experience with large-scale AI-powered advertising products.

Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.

Builds and operates petabyte-scale data platform infrastructure using Kafka, Spark, Flink, and Trino to power real-time ML pipelines and analytics. Requires expertise in distributed systems, stream processing, and systems languages like Rust, Go, or Scala.

Leads ML team building scalable systems for personalization, ranking, search, and ads. Owns end-to-end architecture from training to serving at consumer scale, requiring 8+ years ML experience and strong systems design skills.

Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.

Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.

Build and optimize scalable machine learning systems for LLM pretraining, fine-tuning, alignment, and evaluation. The role requires 4+ years of ML systems experience, strong Python and PyTorch skills, and familiarity with transformers; experience with LLMs, reinforcement learning, and distributed training is preferred.

Builds and scales reliable data pipelines and infrastructure using AWS and tools like Spark, Kafka, and dbt. Collaborates with teams to deliver data solutions, mentors engineers, and drives data architecture strategy. Requires 6+ years experience.

Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.

Leads architecture and development of agentic AI systems for personalized brain health therapies, including conversational therapy and education platforms. Requires 8+ years software engineering with 2+ years AI/ML focus, Python/TypeScript expertise, and distributed systems experience.

Build and scale data ingestion infrastructure and EHR integrations to power healthcare products, ensuring reliability for thousands of patients. Requires 5+ years in production systems, 3+ in data platforms, and expertise in Python, AWS, SQL, and big data tools like Spark and Kafka.

Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.

Lead merchant analytics initiatives by scoping data analyses, interfacing with partners, and driving insights that improve product strategy and marketplace optimization. Requires 5+ years in data analytics or quantitative consulting with strong SQL skills.

Lead data analysis and merchant partner relationships to quantify Upside's business impact, drive product insights, and support strategy. Requires 2+ years in analytics/consulting, strong SQL skills, and excellent communication.

Analyzes financial crimes data to optimize transaction monitoring rules, investigates risk patterns, and builds dashboards for compliance teams at a fintech payments company. Requires 2+ years in risk/fraud analytics, strong SQL, and blockchain tools experience.

Designs and builds scalable ETL/ELT pipelines to harmonize data from ERP systems like SAP, Oracle, and NetSuite into unified models. Requires 5+ years in data engineering, advanced SQL/Python, and ERP data expertise for cross-system integration.

Designs, fine-tunes, and deploys image generation models for photorealistic AI bots, optimizing for consistency, latency, and quality. Requires 5+ years software engineering, 2+ years production ML, and expertise in diffusion models like Stable Diffusion and PyTorch.

Builds and scales ML models/systems for Generative AI content generation (text, image, audio, video). Owns roadmaps, processes for training/fine-tuning at scale, and collaborates cross-functionally. Requires 10+ YOE, Master's/PhD, Python/C++ proficiency.

Designs and leads empirical studies evaluating ambient AI impact on patient outcomes and care quality using large-scale clinical data. Develops measurement frameworks and collaborates with product teams; requires PhD and strong publication record in evaluation research.

Build and deploy AI/ML systems including LLM-powered document extraction, agentic workflows, sales forecasting, anomaly detection, and promotion optimization for CPG brands. Requires 2+ years applied AI/ML and 6+ years production software engineering experience.

Conducts core research on multimodal foundation models for world-simulations, bridging modeling, data, systems, and evaluation. Requires advanced degree in CS/ML, first-principles scaling intuition, and experience with large-scale GPU training.

Leads and contributes directly to systematic equity alpha research in China, producing scalable signals and influencing live trading P&L. The player-coach role requires a STEM degree, at least five years of relevant experience, strong programming and research infrastructure skills, and a demonstrated record of profitable research.

Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.

Designs, deploys, and optimizes AI agents to automate construction permitting workflows. Builds backend/frontend services, APIs, data pipelines, and evaluation systems. Requires 3+ years in software/ML engineering with production AI experience.

Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.

Drives customer success for OpenAI's business products through data analysis, experimentation, and insights to boost adoption and engagement. Requires 7+ years in data science, expertise in Python, R, SQL, statistics, and causal inference.

Leads enterprise data architecture strategy, designs multi-cloud integrations, Master Data Management, and AI-enabled data quality frameworks. Requires 7+ years in data architecture/engineering and expertise in modern data platforms.

Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.

Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.

Data Scientist evaluates and improves AI mitigation systems, focusing on classifiers and detection pipelines for risks like biosecurity and cybersecurity. Builds monitoring frameworks and drives cross-functional impact using Python, SQL, and analytical expertise.

Leads engineering initiatives to build scalable ML platform infrastructure, including unified embeddings, feature pipelines, and continuous learning systems. Requires 7+ years in applied ML, Python/ML frameworks expertise, and Master's/PhD in quantitative field.

Builds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.

Build and own autonomous agentic systems for customer-facing revenue and marketing workflows, partnering with sales and marketing teams. Requires 4+ years experience in software/ML engineering, full-stack skills in Python/JavaScript, and production systems expertise.

Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.

Develop Python-based analytics tools, design experiments to optimize CTV ad campaigns, and translate insights into data science products. Requires strong Python coding, statistics, ML fundamentals, and adtech experience.

Senior/Staff Software Engineer architects ML data pipelines for autonomy AI at Nuro, transforming massive datasets into training signals. Requires 7+ years experience, C++/Python proficiency, and expertise in end-to-end ML data systems.

Develops bi-directional/recurrent architectures for hierarchical sensorimotor perception inspired by brain principles to advance AGI. Requires PhD-level expertise in deep learning frameworks like PyTorch/JAX, theoretical rigor, and passion for biological intelligence.