Jobs in the United States

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Added 4 mins ago
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Aide Trainee - Selinsgrove Center (1st and 2nd Shift)
Commonwealth of Pennsylvania
Selinsgrove, PA
- $40,038 to $51,054 USD / year
Advocacy and Respect: Model appropriate behavior and uphold individual rights and dignity
Added 5 mins ago
Program Manager NPI (51688)
MAS HVAC
Dayton, MN
…With a vertically integrated engineering and manufacturing model, we pair rapid design turnaround with precision fabrication, so customers can move faster on complex projects where…
Added 5 mins ago
CMC Mechanical Analysis Lead Engineer
GE Aerospace
Minnetonka, MN
Supports the integration of AI-enabled tools and processes to accelerate model development and post-processing activities
Added 5 mins ago
GA
Director, Architecture and Data
GE Aerospace
Minnetonka, MN
- $152,000 to $202,000 USD / year
Own the architecture governance model: reference patterns, standards, the architecture review and decision process, and exception handling – the paved roads that keep delivery fast and…
Added 5 mins ago
Lead Architect, AI Solutions - EDDA
Travelers Insurance Company
St. Paul, MN
…multi-agent orchestration frameworks (LangChain, Strands, Crew AI), Model Context Protocol (MCP), and Agent2Agent integration - to architect scalable, production-grade AI solutions across…
Added 5 mins ago
Director Talent Acquisition (51679)
MAS HVAC
Maple Grove, MN
…With a vertically integrated engineering and manufacturing model, we pair rapid design turnaround with precision fabrication, so customers can move faster on complex projects where…
Added 5 mins ago
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Director: Assistant Controller (Onsite) - The Toro Company
The Toro Company
Bloomington, MN
- $204,000 to $250,000 USD / year
Added 5 mins ago
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Senior Java Full Stack Engineer – Spring Boot & AWS
Cognizant
Saint Paul, MN
- $86,000 to $99,000 USD / year
Added 6 mins ago
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GCP data Engineer
Cognizant
Saint Paul, MN
- $100,000 to $120,000 USD / year
Develop data discovery frameworks that support ontology and semantic model development.
Added 6 mins ago
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Specialty Account Executive –Intelligence Center X – Heavy Equipment & Automotive
Siemens
Saint Paul, MN
- $150,000 to $294,500 USD / year
The next era of enterprise AI will not be won by adding another disconnected model, dashboard, or pilot. It will be won by connecting trusted enterprise context to intelligence and…
Added 6 mins ago
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Senior Knowledge Graph & Ontology Architect
Cognizant
Saint Paul, MN
- $130,000 to $160,000 USD / year
…including significant experience leading ontology and semantic model design…
Added 6 mins ago
Specialized Account Executive Intelligence Center X - ESIB
Siemens
Saint Paul, MN
The next era of enterprise AI will not be won by adding another disconnected model, dashboard or pilot. It will be won by connecting trusted enterprise context to intelligence and then…
Added 6 mins ago
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Google Senior Data Engineer
Accenture
Minneapolis, MN
- $94,400 to $266,300 USD / year
Assist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
Added 6 mins ago
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Google Data Specialist
Accenture
Minneapolis, MN
- $70,350 to $196,000 USD / year
Assist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
Added 6 mins ago
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Technology Strategy Manager, Life Sciences Industry
Accenture
Minneapolis, MN
- $87,400 to $253,000 USD / year
Operating model strategy, technology in M&A, tech value cost take-out, or technology driven revenue growth strategy, or strategy involving AI and emerging technology-enabled transformation
Added 6 mins ago
Associate Managing Director, ECC Contracts (Federal)
KPMG LLP
Minneapolis, MN
Design and execute a service-centric delivery model for federal contracting, overseeing the end-to-end contracting lifecycle from pre-award strategy to post-award closeout, ensuring rapid…
Added 6 mins ago
Engineer II, Google Cloud
PwC
Minneapolis, MN
Testing application functionality, model behavior, and system performance across delivery stages
Added 10 mins ago
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Forward Deployed Engineer Specialists (FDE) (Mid/Senior Level)
Salesforce, Inc.
NY
- $148,500 to $285,800 USD / year
Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
Added 11 mins ago
Devops Platform Engineer
Advanced Micro Devices, Inc
San Jose, CA
…scalable, and secure products. This role will shape the internal developer platform across Kubernetes, observability, AI-enabled workloads, CI/CD, and infrastructure as…
Added 11 mins ago
Lease Accounting Sr. Manager
Advanced Micro Devices, Inc
Santa Clara, CA
Added 11 mins ago
Sr. Director, Client & Personal AI System Innovation
Advanced Micro Devices, Inc
Austin, TX
Create and operationalize the governance model, investment framework, and processes required to drive innovation across AMD's Client organization.
Added 23 mins ago
Software Engineer, Bugbot
SpaceXAI
New York, NY · San Francisco, CA
…area of what Bugbot can do is expanding just as fast. From the model integration and agent harness improvement to the product UI, integrations, and onboarding experience, you'll maintain…
Added 24 mins ago
Staff Software Engineer, AI/ML, Cloud IAM, Dataset and Model Training
Google
Sunnyvale, CA
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 26 mins ago
Associate/Vice President, Alternatives Fund Accounting - Delaware
BlackRock
Wilmington, DE
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all.…
Added 27 mins ago
Affiliate Manager | Partner Company
Jobgether
Remote, United States
Mandatory experience working directly with SEO affiliates in the North American market under a CPA compensation model. Experience limited to pay-per-listing arrangements or fixed placements…

Google

Staff Software Engineer, AI/ML, Cloud IAM, Dataset and Model Training

Sunnyvale, CA, United States

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
8 years of experience training, fine-tuning, and evaluating machine learning and deep learning models in Python (e.g., PyTorch, JAX, scikit-learn, GBDTs/XGBoost, or Transformers).
Experience with dataset curation, feature engineering, synthetic data generation, and building reproducible ML training and evaluation pipelines at scale.
Experience developing ranking, retrieval, classification, or risk/anomaly scoring models for production systems.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Cloud IAM team builds foundational authorization and policy intelligence systems securing Google Cloud Platform for enterprise customers, workloads, and AI agents. You will build core ML models and data pipelines transforming Cloud IAM from a static access control system into an adaptive, risk-aware intelligence engine. Combining dataset engineering and model training expertise with cloud security and reliability focus, you will design scalable data pipelines, train compact risk-scoring models, and integrate explainable ML predictions with deterministic security guardrails. Your systems will evaluate access risk in real time, recommend least-privilege policies, detect risky permission combinations, and help security administrators automate access decisions safely and efficiently.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Design and scale training data pipelines using access telemetry, policy graphs, and synthetic data with rigorous de-noising.
Train and optimize ML models for Intelligent IAM, focusing on access-risk scoring, anomaly detection, and least-privilege recommendations.
Build explainability and calibration layers to provide clear reasoning for risk scores, routing uncertain cases to human review or static rules.
Partner with security engineers to identify IAM edge cases, ensuring models learn subtle privilege boundaries without over-granting access.
Establish evaluation benchmarks and online monitoring to prevent model drift, and optimize models for low-latency Google Cloud serving.

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