26 ml infrastructure engineer jobs at 18 companies in Newfane, NY
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Member of Technical Staff - Machine Learning Infrastructure Engineer
San Francisco or Toronto or Seattle
$180k-$300k/yrOnsiteFull Time
Preference Model: Building reinforcement learning environments to train frontier AI models.
Experienced software engineer with production ML/data infrastructure skills, proficiency with PyTorch or JAX, distributed systems, AWS/GCP, Kubernetes, data pipelines, and familiarity with transformers and inference libraries like vLLM.
Principal Applied AI Developer, Foundation Models Infrastructure
Quebec or Toronto or Canada
$153k-$224k/yrRemoteFull Time
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
8+ YOE8+ years software engineering experience with large-scale cloud-native or ML infrastructure; hands-on with Kubernetes, Ray, SageMaker, AWS; experience designing production ML training/serving platforms, CI/CD, infrastructure-as-code, and mentoring engineers.
Ideogram: Generative AI platform for professional graphic design and typography.
2+ YOE2+ years building large-scale distributed systems, strong fundamentals in data structures, algorithms, databases, and large-scale data processing; experience with Python, Kubernetes, GCP, and related data infra is helpful.
Python, Kubernetes, GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub, Docker, Terraform, TPU infrastructure
Stripe: Provides online payment processing and financial infrastructure for businesses.
2+ YOE2+ years software development experience building large-scale distributed services and production ML/MLOps platforms; experience with operations, product collaboration, and shipping ML models/LLM applications.
Senior Machine Learning Engineer — Data Infrastructure
Toronto or Zürich or California
HybridFull Time
Veeda AI: Building multimodal foundation world models for physical AI.
5+ YOE5+ years in data engineering or similar with distributed systems, production ingestion at scale, Python and SQL proficiency, ETL/ELT for ML, cloud object storage experience, and experience with data-processing frameworks.
Financeit: Provides point-of-sale consumer financing solutions for retail businesses.
5+ YOEBachelor's in CS or related, 5+ years in DevOps/AI/ML with GenAI and LLM experience; expert Python, vector DBs, RAG pipelines, MLOps, containerization, CI/CD, and cloud skills.
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: Provides AI-powered career navigation and workforce development software solutions.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).
Toronto or San Francisco or New York City or London or Paris or Montreal
HybridFull Time
Cohere: Provides enterprise-grade large language models and AI software platforms.
Experience managing engineering teams focused on GPU/ML infrastructure, Kubernetes, IaC, observability, and collaboration with AI researchers; strong communication and mentorship skills.
Stripe: Provides global financial infrastructure and payment processing for businesses.
2+ YOE2+ years software development experience with service-oriented architecture, distributed systems, production ML platforms or MLOps, operations for high-availability systems, and cross-team collaboration.
HuronNasdaq: HURN: Professional services firm providing management consulting and digital transformation.
5+ YOE1+ Mgmt5+ years in ML/AI platform or MLOps, 1–2 years leading, hands-on production AI systems, strong Python, experience with AWS and Azure, Docker, Kubernetes, and infrastructure as code.
Foundation AI: Automates document processing and data extraction for law firms.
5+ YOE5+ years software engineering experience with 2–3 years in ML engineering/MLOps; strong Python and SQL skills; experience building ML pipelines, model/versioning, experiment tracking, CI/CD for ML, monitoring, and cloud infrastructure (AWS).
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Seattle or Toronto or Santa Barbara or San Diego
$127k-$190k/yrRemoteFull Time
Invoca: AI platform for conversation intelligence and revenue execution.
5+ YOE5+ years in data or software engineering; advanced Python, SQL, Databricks, Spark, and data modeling; experience with orchestration, streaming, cloud infrastructure, data quality, ML datasets, and privacy; bachelor's degree or equivalent.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
10+ YOEBachelor's in a technical field,10+ years leading ML solutions,experience managing data science/engineering teams,expertise in ML systems and production infrastructure,EMR not mentioned,excellent communication and stakeholder engagement.
Doppel: Provides AI-native defense against digital social engineering and impersonation.
Design, train, and deploy ML models for batch and real-time inference; work on NLP, embeddings, similarity search, and anomaly detection; collaborate with Detection and Infrastructure teams to scale ML systems.
5+ YOE3+ MgmtBachelor's degree or equivalent, 5+ years software development and ML experience, software testing and launch expertise, ML design and infrastructure experience, and 3+ years technical leadership.
AI Systems Engineer – AI Model (Training & Inference)
Markham, Ontario, Canada
$132k-$198k/yrHybridFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experience shipping production AI/ML infrastructure across training and inference, GPU kernel optimization, distributed GPU systems, and AMD Instinct hardware. A technical degree is preferred.
RecursionNASDAQ: RXRX: Developing medicines using an AI-native drug discovery platform.
Hands-on technical manager/tech lead experience in MLOps, distributed systems, ML infrastructure, model deployment, GPU optimization, and mentoring engineers; familiarity with Python, PyTorch, containerization, orchestration, and cloud platforms.