DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
5+ YOE5+ years in high-performance computing or AI infrastructure, deep GPU and inference optimization expertise, experience with CUDA/Triton/ROCm, attention-layer and kernel-level optimization, strong system design and leadership through influence.
Senior Lead AI Engineer (FM Hosting, LLM Inference)
New York or McLean or Cambridge or San Jose
$251k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's in CS/AI/EE/CE or related with 6+ years (or Master's with 4+ years); 6+ years programming with Python, Go, Scala, or Java; experience deploying scalable AI systems, LLM inference, similarity search, and optimization of training/inference.
Glia AI: Automated AI systems engineering for high-performance infrastructure.
Experience with AI inference and distributed serving, strong systems and GPU optimization skills, proficiency in Python and PyTorch, familiarity with inference frameworks (vLLM, Triton, Ray Serve); PhD or equivalent experience preferred.
vLLM, PyTorch, Triton inference server, Ray Serve, CUDA, Python
Physical Superintelligence: Building AI systems to discover new physics at scale.
3+ YOE3+ years building and operating ML training or inference infrastructure; distributed training and model-serving experience; strong software engineering and ML fluency to debug training and inference; cloud and IaC experience preferred.
Seattle or Boston or Austin or Sunnyvale or Arlington or Bellevue or Santa Clara or Se attle or New York or San Francisco or Los Angeles
$159k-$215k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEPhD in economics; 5+ years research experience; expertise in causal inference and statistics; able to work in a fast-paced environment; strong communication and collaboration skills.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Lead enterprise software architecture and delivery; strong programming in C/C++/Python; experience with AI/ML inference stacks; enterprise software delivery; customer engagements.
Bevi: Manufacturer of internet-connected, bottleless water and beverage dispensers.
2+ YOE2+ years in data science or analytics with experience in churn/propensity modeling, causal inference/MMM, strong SQL and Python/R skills, visualization, and excellent communication.
Systems ML Engineer (Member of the Technical Staff)
Cambridge, Massachusetts, United States
OnsiteFull Time
Transfyr: Building physical AI infrastructure for scientific research and automation.
Experience optimizing and deploying large-scale ML models for training and inference, profiling and custom GPU kernel development, distributed training, cloud and edge deployment, and infrastructure automation.
Senior Manager, Data Science & Operation Analytics
North Bethesda or Waltham
$170k-$185k/yrHybridFull Time
XometryNASDAQ: XMTR: Operates an AI-powered marketplace for custom manufacturing and prototyping.
7+ YOE7+ years in data science/analytics with expertise in statistical inference, experimentation, forecasting, SQL and Python; experience managing analytics teams and building KPI frameworks and scalable data assets.
SQL, Python, Pandas, NumPy, SciPy, Statsmodels, Tableau, Looker, Power BI
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOEPhD-preferred research data scientist with 10+ years applying causal inference and ML to large observational datasets; expertise in observational causal methods, communication skills, and productionizing pipelines.
Applied AI Research Engineer - Model Cost Optimization
Cambridge, Massachusetts, United States
$210k-$260k/yrOnsiteFull Time
Blitzy: Autonomous AI platform for enterprise software development.
Applied ML/AI research experience with hands-on LLM evaluation or fine-tuning, strong software engineering, familiarity with LLM evaluation and benchmarking, and understanding of inference cost/latency tradeoffs.
5+ YOEMaster's in a quantitative field or PhD; 5+ years analytics experience (3+ with PhD); coding with Python, R, SQL; experience with large-scale experimentation, causal inference, and product analytics.
SimpliSafe: Provides wireless home security systems and professional monitoring services.
6+ YOEExpertise in marketing science, personalization, lifecycle modeling, production ML, experimentation and causal inference; proficiency with Python, SQL, Databricks, SageMaker, Spark, MLflow; typically 6+ years experience.
Postdoctoral Research Associate in Biostatistics for Real-World Data - PH 353
Providence or Rhode Island or California or Colorado or Connecticut or Florida or Maryland or Massachusetts or New York or New Hampshire or New Jersey or North Carolina or District of Columbia
OnsiteFull Time, Temporary
Brown University: Ivy League university providing undergraduate, graduate, and medical education.
PhD in biostatistics/epidemiology/statistics/data science or related; experience with large healthcare data (EHR, claims, registries), causal inference and related methods; strong oral and written communication.
Santa Clara or Westford or Austin or Durham or Seattle
$224k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years software engineering experience in GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
MerckXETRA: MRK: A science and technology providing healthcare, life science, and electronics solutions.
8+ YOEPhD in quantitative discipline,8+ years RWE/statistics/epidemiology experience,deep expertise in causal inference and healthcare data,experience supporting regulatory decisions,excellent communication and scientific leadership.
WHOOP: Wearable technology for personalized health and performance tracking.
4+ YOE4+ years ML engineer/related experience; BS in CS/Math/Data Science; strong Python; ML inference at scale; cloud/CI/CD; time-series experience preferred.
Python, cloud platforms (AWS or GCP), MLOps, CI/CD, time series data