HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
PrizePicks: Operates a daily fantasy sports and player prediction platform.
3+ YOE3+ years platform engineering experience, 1+ year owning ML systems in production, experience with streaming (Kafka/Flink/PubSub), MLOps tools (SageMaker, VertexAI), Redis/Elasticsearch, Docker/Kubernetes, Python and Go; C++/Rust a plus.
FanDuelNYSE: FLUT: Offers online sports betting and daily fantasy sports services.
7+ YOE7+ years in software/ML, 4+ years scalable architectures, 2+ years vector/semantic retrieval, 2+ years platform components, 1+ years cross-team leadership, cloud experience (AWS/GCP/Azure).
New York City or San Francisco or Los Angeles or Seattle or Austin or Washington or Philadelphia or San Diego or Chicago or Atlanta or Salt Lake City or United States or Australia or Canada or South America
$170k-$235k/yrRemoteFull Time
Flex: A financial platform allowing renters to split monthly rent payments.
6+ YOEMaster's (or PhD) in CS/Engineering, 6+ years ML engineering experience, production ML pipelines, Python, TensorFlow/PyTorch/scikit-learn, cloud (AWS/GCP/Azure), distributed frameworks (Spark, Kubernetes), CI/CD and model monitoring.
Omnissa: Provides AI-driven digital workspace and endpoint management software solutions.
5+ YOE5+ years in ML engineering or data science; Python and ML frameworks; cloud platforms; ML algorithms; Docker/Kubernetes; LLMs; vector stores; agile teamwork.
The Coca-Cola CompanyNYSE: KO: Manufactures and markets a global portfolio of non-alcoholic beverages.
6+ YOE6+ years building and operating production ML/data systems. Strong Python and SQL skills, applied ML fundamentals, feature engineering, model evaluation, deployment, monitoring, MLOps and data platform fluency. Bachelor’s in CS or equivalent experience preferred.
Python, SQL, PyTorch, TensorFlow, dbt, Airflow, Dagster, Spark, Microsoft Fabric, Docker, Kubernetes, CI/CD, Atlassian JIRA, Java, Kotlin, Microsoft Office, Microsoft SharePoint, Enterprise Content Management (ECM), MLOps, Agile Methodology, DevOps
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
5+ YOE3+ MgmtMS in ML/CS/math or related field; 5+ years ML engineering; 3+ years in management; experience building team culture; Scrum/Agile; cross-org collaboration.
Machine Learning Engineer II, CNN Digital Products and Services
New York or Atlanta or Washington
$112k-$208k/yrHybridFull Time
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
2+ YOEMS or PhD in a quantitative field; 2+ years of production ML; Python; ML lifecycle; software engineering practices; collaboration; strong communication.
Python, SQL, Git, MLflow or similar MLOps tools, scikit-learn or similar
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior
Manayunk or Charlotte or San Antonio or Jacksonville or Alpharetta or Dallas
HybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
4+ YOE3-5 years Python with production deployment; experience with LLMs, multi-agent AI frameworks (LangChain, AutoGen, CrewAI); vector databases; cloud ML platforms; MLOps.
SalesforceNYSE: CRM: Provides cloud-based customer relationship management and enterprise software.
Extensive software engineering with infrastructure focus; distributed systems, Kubernetes, ML infra, GPU. Experience with cloud platforms, ML tooling, and collaboration across teams.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
5+ YOE5+ years NLP model training and fine-tuning; experience with PyTorch, TensorFlow, JAX; production ML systems; programming languages; strong communication.
PyTorch, TensorFlow, JAX, Python, Go, Scala, Java, PHP, Ruby, C
5+ YOEBachelor's in CS/Data Science, 5+ years professional experience in data science/ML/engineering, strong SQL, Python, TensorFlow/PyTorch, cloud (AWS/GCP/Azure), Docker/Kubernetes/Airflow, ETL and data/feature pipeline design.
KPI Solutions: Designs and integrates automated warehouse and supply chain systems.
4+ YOE4+ years in Data Science, Analytics Engineering, or Applied Machine Learning with production delivery; strong SQL, Databricks, Python; data modeling and governance-ready datasets.