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2mo ago

Data Scientist

Leidos McLean, VA

McLean, VA

2mo ago Closed

$108k - $195k/yr Full time Analytics Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Data Scientist role in Leidos' Analysis Solutions Business Area (ASBA) in McLean, VA (onsite), with a salary range of USD 107,900 - 195,050 per year.

Responsibilities

Develop statistical and machine learning models, apply natural language processing, and craft automated data-driven solutions for complex business challenges.
Design and execute advanced database queries across multiple data sources using SQL and API interfaces.
Perform web scraping and apply techniques for processing unstructured data.
Utilize automation and machine learning to manage data, forecast scenarios, and provide data-driven recommendations.
Learn and apply technologies including AWS and Git.

Requirements

Must have TS/SCI with Polygraph clearance.
BS degree with 8 – 12 years of relevant technical experience or Master’s with 6 – 10 years of relevant experience; Doctorate in a technical field may be held.
Proficiency in Python is required.
Experience with social network analysis (SNA).
Strong SQL skills and experience with relational databases and APIs for data extraction.
Experience with supervised and unsupervised learning and natural language processing (NLP); familiarity with NLP libraries/tools such as spaCy, Hugging Face, NLTK, or TensorFlow.
Experience with frequentist statistics, probability, and predictive modeling; knowledge of computer science concepts, data architecture, and statistical methods.
Proficiency with data visualization tools such as Tableau, Plotly, Seaborn, or Matplotlib.

Technologies

AWS
Git
Python
SQL
spaCy
Hugging Face
NLTK
TensorFlow
Tableau
Plotly
Seaborn
Matplotlib

Benefits

Paid Time Off
11 paid Holidays
401K with a 6% company match and immediate vesting
Flexible Schedules
Discounted Stock Purchase Plans
Technical Upskilling
Education and Training Support
Parental Paid Leave
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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2mo ago

Data Scientist

Google San Bruno, CA

San Bruno, CA

2mo ago Closed

$164k - $211k/yr Full time Data Analysis Data Analytics Data Processing

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Google's YouTube team seeks a Data Scientist in San Bruno, CA (hybrid) to translate business problems into analytical questions, build data driven models, and communicate quantitative solutions to leadership. The role carries a salary range of $164,450 to $211,000 per year and requires a PhD. This position offers the chance to influence products used by millions of users worldwide.

What you get

Location: San Bruno, CA (hybrid)
Compensation: $164,450 - $211,000 per year
Education: PhD required

Responsibilities

Collaborate with stakeholders to translate business needs into clear analytical questions, evaluation metrics, and mathematical models.
Gather business goals, organizational context, and information regarding existing and upcoming data infrastructure to guide your analysis.
Extract and compile large-scale data from multiple sources using SQL, R, and Python.
Validate and prepare datasets for analysis by formatting, re-structuring, and ensuring data quality and integrity.
Design and evaluate sophisticated models to mathematically solve complex problems with limited precedent. Apply scientific and statistical methods to evaluate and improve Google's products for millions of users worldwide.

Requirements

Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations Research, or a related field.
Experience applying statistical or optimization methods to solve business problems.
Ability to frame business problems posed by non-quantitative stakeholders into tractable quantitative problems.
Presenting and defending quantitative solutions to senior leadership for implementation or to influence the business roadmap.
Python or R for statistical analysis and algorithms.
Ability to explain statistical concepts (Statistical Hypothesis Testing, Statistical Significance, Causal Inference, Confidence Intervals, Survival Analysis, Advanced Design of Experiments, ML/AI Evaluation) to non-quantitative audiences.

Technologies

Python
R
SQL

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2mo ago

AI Engineer

Precision Castparts Corp. Santa Ana, CA

Santa Ana, CA

2mo ago Closed

$96k - $115k/yr Full time Ai Workflows Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Precision Castparts Corp. is seeking an AI Engineer to join onsite in Santa Ana, CA, developing practical AI solutions that enhance commercial performance across quoting, pricing, pipeline management, capacity planning, and forecasting. You will collaborate with Sales, Finance, and Operations to embed AI into daily workflows, enabling faster, smarter decisions and tangible business outcomes. The role carries a salary range of USD 96,300 to 115,000 per year and aligns with a minimum of three years of relevant experience.

Responsibilities

Partner with Sales, Finance, and Operations to identify high-value AI use cases (e.g., opportunity summaries and next best actions, guided quoting and pricing guardrails, similar deal insights and recommendation engines, pipeline and forecast intelligence dashboards, deal books, forecasting and SIOP inputs, daily sales TOC dashboard, market and opportunity summaries).
Build and deploy AI-enabled applications using Databricks
Integrate data across CRM, CPQ, ERP, and contract systems
Embed tools directly into commercial workflows (not standalone dashboards)
Lead pilots end-to-end (design test launch sustain)
Train users and drive adoption within real business routines
Ensure accuracy, governance, and compliance (AS9100 / ITAR / DFARS)
Align with Corporate and Division IT on AI standards and controls
Report measurable improvements in revenue, margin, and forecast performance

Requirements

3-6 years developing complex applications
2+ years of AI experience
Experience with CRM and/or CPQ systems strongly preferred
Experience supporting commercial or revenue operations is a plus
Databricks (SQL, Delta Tables, Unity Catalog)
AI capabilities: LLM APIs, prompt engineering, RAG workflows
Strong SQL and Python (or equivalent)
Familiarity with APIs, Git, and application deployment

Technologies

Databricks
SQL
Delta Tables
Unity Catalog
LLM APIs
Prompt engineering
RAG workflows
Python
APIs
Git
CRM
CPQ

Benefits

120 hours paid time off every year
10 paid holidays
Medical, dental, vision, and basic life insurance
401(k) plan
Quarterly Cash Bonus Plan (2X bonus multiple, based on company performance)

Work Environment

California based – Los Angeles or Orange County
Approximately 25% travel for sales engagement, working sessions, and deployments
Travel intensity higher during build/launch phases

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2mo ago

Sr. Java AI Engineer

CitiusTech Inc Denver, CO

Denver, CO

2mo ago Closed

$70 - $80/hr Full time Backend Developer Senior Agentic Ai

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Benefits

This onsite opportunity in Denver, CO with CitiusTech Inc offers a competitive hourly range of USD 70 to 80. As a senior member of the team, you will influence AI aided development across a microservices oriented enterprise, shaping architecture, governance, and best practices while collaborating with skilled colleagues. The role emphasizes impact on the software development lifecycle, CI/CD integration, security posture, and technical debt management.

Responsibilities

Guide the practical use of agentic IDEs for complex changes spanning multiple modules or services
Establish review practices and quality gates for AI generated code
Mentor teammates on balancing autonomy with correctness and maintainability in AI assisted development
Design system architectures that support AI augmented and agent driven development workflows
Define guardrails, standards, and governance for autonomous coding agents
Evaluate how agentic IDEs affect SDLC, CI/CD pipelines, security posture, and technical debt
Provide senior leadership in architecting and delivering agentic IDE enabled solutions across multi service ecosystems
Define architectural intent for agents, decompose features into agent executable tasks, and govern AI autonomy with permissions and reviews
Integrate agentic workflows into CI/CD pipelines and supervise AI agents across multi service systems, legacy modernization, and large codebases or monorepos
Address security implications, compliance, auditability, and traceability within AI assisted SDLC operating models

Requirements

Java: 12+ years of experience, with recent work in Java 11+
5+ years with Spring 4 and 5, including Spring Boot 2, Spring Data, Spring Cloud, Spring Integration and Spring REST API development
Angular: 3+ years in an event driven asynchronous architecture with Kafka integration, and the ability to discuss relevant design patterns
GCP experience
Postgres SQL experience
Comfort discussing pros and cons of various middle tier architecture design patterns
Experience delivering modern solutions for high transaction volume performance
Ability to articulate and apply design pattern types for modern software development
Experience with Agile Scrum and Kanban, and with Jira
Experience using IntelliJ IDE, including debugging, mocking, and developing unit tests across enterprise web applications
Strong experience with modern testing frameworks including Spring unit and integration testing, JUnit 5, Hamcrest, and related practices
Enterprise level experience with Git, Gradle, and other build automation tools
Extensive recent experience designing and building within a modern Micro Service Architecture
Spanner experience is a plus
NoSQL and Cassandra experience are pluses
Proven experience at senior architecture levels (Tech Lead, Architect, Principal) delivering agentic IDE based systems
Ability to define architectural intent for agents, break features into executable tasks, govern AI autonomy, and integrate agentic workflows into CI/CD
Experience supervising AI agents across multi service environments, including legacy modernization and large codebases
Strong awareness of security, compliance, auditability, and traceability in AI assisted software development

Technologies

Java
Spring Boot
Spring Data
Spring Cloud
Spring Integration
Spring REST API
Angular
Kafka
GCP
Postgres SQL
NoSQL
Cassandra
Git
Gradle
IntelliJ IDE
JUnit 5
Hamcrest
Jira
Spanner
Microservices

Compensation

Compensation range: USD 70.00 to 80.00 per hour.

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2mo ago

Applied AI Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

2mo ago Closed

$136k - $265k/yr Full time Agentic Ai Ai Automation Ai Ml

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

An opportunity at NVIDIA in Santa Clara, CA (hybrid) centers on an Applied AI Engineer role with a focus on VLSI design. The position combines developing and deploying AI and agentic solutions to support VLSI engineering flows and CAD systems, translating advanced AI capabilities into practical engineering tools and workflows. The role offers a salary range of USD 136,000 to 264,500 per year and requires a Master’s or PhD in Electrical Engineering or Computer Science/Engineering, with at least five years of industry experience.

Responsibilities

Lead design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and related technologies.
Build the infrastructure to deploy LLM-powered engineering assistants and multi-turn, multi-modal dialogue systems to drive impact.
Create agentic AI solutions to tackle complex VLSI engineering problems and integrate them with CAD flow systems.
Utilize AI to improve efficiency in solving challenging chip design problems.
Develop and maintain design databases and dashboards that employ agentic and deterministic retrieval to surface pertinent engineering data and accelerate circuit design closure.
Collaborate with circuit design, layout, technology, and third-party EDA vendor teams across geographies and time zones.

Requirements

Master’s or PhD in Electrical Engineering, Computer Science/Engineering, or equivalent experience.
5+ years of proven industry experience in a related field.
Proficiency in rapid prototyping with Python and solid foundations in data structures, algorithms, and software engineering principles.
Experience fine-tuning large language models, building advanced multi-agent systems, RAG pipelines, and vector databases.
Strong analytical, communication, and interpersonal skills with the ability to thrive in dynamic, product-focused, distributed teams.
Proactive problem-solving approach and willingness to acquire new skills as needed to achieve results.

Technologies

Python
Large Language Models (LLMs)
Agentic frameworks
RAG pipelines
Vector databases
CAD flow systems

Benefits

Equity
Benefits package

Ways to Stand Out

Experience with Large Language Models (LLMs) and their applications in software and AI development
Proficiency in standard software development methodologies, including version control, testing, and CI/CD
Deep interest in learning diverse concepts and combining them in innovative ways
Prior experience with circuit design or hardware design is a plus

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2mo ago

AI Engineer

GoodSuite Woodland Hills, CA

Woodland Hills, CA

2mo ago Closed

Full time AI Ai Automation Ai Workflows

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

On-site opportunity in Woodland Hills, CA. This AI Engineer role at GoodSuite is a builder-focused position to design and deploy AI-powered automation across internal operations, integrate LLMs with internal systems, and lead internal AI adoption with direct access to leadership.

Responsibilities

Design and deploy AI-powered automation across internal operations — service delivery, billing, quoting, onboarding, and client communications
Build and maintain AI tools, agents, dashboards, and workflows that eliminate manual work and create measurable time savings
Integrate LLMs with internal systems, SaaS tools, databases, APIs, and automation platforms
Lead GoodSuite’s internal AI adoption — training staff, identifying use cases, and driving actual usage of the tools
Evaluate and implement AI-forward platforms including workflow automation, LLM integrations, and RMM/PSA enhancements
Partner with the CRO and COO to identify automation opportunities that support revenue growth and margin improvement
Build the foundation for AI-enabled client-facing services for the managed IT client base
Stay relentlessly current and act as the eyes and ears on what’s coming next

Requirements

You are obsessive about AI, not as a trend but as a craft. You build things and ship them
Hands-on experience with LLM APIs such as OpenAI, Anthropic/Claude, Gemini, or similar
Proficient with Python and/or TypeScript/Node.js, and comfortable with frameworks like FastAPI, Flask, Express.js, or similar
Experience with APIs, webhooks, databases, and workflow automation platforms like n8n, Make, Zapier, or Power Automate
Ability to build practical internal tools using React, Next.js, Retool, Streamlit, or similar when needed
Experience in or around an MSP, IT services, SaaS, service business, or technology company — understanding operational realities
Clear communicator who can explain complex tools to non-technical stakeholders without condescension
Work with urgency; proactively identify and build solutions rather than waiting for directions
Comfortable with ambiguity and adept at shaping the role as it evolves
A portfolio, GitHub, side project, internal tool, or live product that demonstrates actual hands-on building
Technologies and platforms we work with include: OpenAI, Anthropic/Claude, Gemini, Python, TypeScript, Node.js, FastAPI, Flask, Express.js, n8n, Make, Zapier, Power Automate, React, Next.js, Retool, Streamlit, ConnectWise Manage, ConnectWise Automate, Microsoft 365 automation, Azure AI services, Microsoft Graph, SharePoint, Teams, RAG, embeddings, vector databases, document processing, knowledge-base search, and AI evaluation workflows

NICE TO HAVE

Experience with ConnectWise Manage, Automate, or similar PSA/RMM platforms
Familiarity with Microsoft 365 automation, Power Automate, Azure AI services, Microsoft Graph, SharePoint, or Teams integrations
Experience with RAG, embeddings, vector databases, document processing, knowledge-base search, or AI evaluation workflows
Experience building internal-facing AI dashboards, reporting tools, copilots, or client-facing AI features
Background in SOC, cybersecurity automation, compliance tooling, or IT operations

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2mo ago

AI Engineer

Stanford University Redwood City, CA

Redwood City, CA

2mo ago Closed

$170k - $195k/yr Full time Backend Developer Agentic Ai Ai Agents

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Stanford University's Enterprise Technology team is seeking an AI Engineer to design, implement, and support AI and GenAI solutions across university use cases. This onsite role in Redwood City, CA may lead AI tracks and includes mentoring junior engineers as part of a collaborative, impact-focused environment.

Compensation

Salary: USD 169,728 - 194,585 per year

Responsibilities

Translate business requirements into robust AI/ML system components such as data pipelines, vector stores, prompt and agent logic, and evaluation hooks, working with the platform and architecture teams.
Develop and maintain LLM-based agents and services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) through approved APIs and tool-calling frameworks; create lightweight internal SDKs or utilities as needed.
Configure and optimize retrieval-augmented generation workflows, including chunking, embeddings, and metadata filters; integrate with existing search and vector infrastructure and elevate architectural considerations to designated architects.
Adhere to and enhance CI/CD, testing, prompt/model versioning, and observability practices; shepherd feature delivery from development through production with coordination from release managers.
Apply guardrails for governance, security, and compliance (PII redaction, policy checks, access controls); partner with InfoSec and architects to address gaps and document decisions and risks.
Instrument services with KPIs such as latency, cost, and accuracy, and build lightweight dashboards to monitor performance; deep BI/reporting is not the primary focus.
Produce clear technical documentation (APIs, workflows, runbooks), write user stories and acceptance criteria, and support or lead UAT/testing activities.
Lead stakeholder sessions, mentor junior engineers through code reviews and pair programming, and provide concise updates and risk flags.

Requirements

Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience.
Agent/agentic framework experience: built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent); able to explain tool selection, orchestration logic, and post-deployment support.
Proven delivery: completed 3+ AI/ML projects and 2+ GenAI/LLM projects in production with ongoing operational support, serving sizable user populations and demonstrating measurable efficiency gains.
Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) with experience designing, developing, testing, and deploying AI-driven applications.
Programming expertise: Python as the primary language, plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools and frameworks.
Experience with cloud AI stacks (Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.).
Knowledge of data design/architecture, relational and NoSQL databases, and data modeling.
Thorough understanding of SDLC, MLOps, and quality control practices.
Proven problem-solving and systematic troubleshooting skills; ability to define and solve complex technical problems.
Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources.
Certifications: One of (or equivalent experience with) Google/AWS/Azure ML/AI certifications or a strong demonstrable portfolio of production AI systems.

Technologies

LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents
Python, Node.js, Next.js, React, TypeScript, Java
Google Vertex AI, AWS Bedrock, Azure OpenAI
Pinecone, Elastic/OpenSearch, FAISS, Milvus
LangSmith, PromptLayer, Weights & Biases, LlamaIndex, DSPy, Haystack
Agent Engine, Google ADK, AWS AgentCore, Llama/Mistral/Qwen, vLLM/TGI/Ollama
Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters
BM25+dense, Cohere, Voyage, Jina
ServiceNow, Salesforce, Oracle Financials
Tailwind, Vertex Pipelines, MLflow, Kubeflow, SageMaker Pipelines

Benefits

Career development programs
Tuition reimbursement
Audit a course
Retirement plans
Generous time-off
Family care resources
Rock climbing facilities
Health care benefits
Health/fitness classes
Free commuter programs
Ridesharing incentives
Discounts
Access to sculptures, trails, and museums

Certifications & Licenses

Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems.

Education & Experience

Bachelor's degree and eight years relevant experience, or a combination of education and relevant experience.

Physical Requirements

Constantly perform desk-based computer tasks
Frequently sit, grasp lightly and perform fine manipulation
Occasionally stand or walk, write by hand
Rarely lift or carry objects up to 10 pounds

Working Conditions

May work extended hours, evenings, and weekends.

Work Standards

Interpersonal skills: ability to collaborate effectively with Stanford colleagues, clients, and external organizations
Promote culture of safety: uphold safety responsibilities, raise safety concerns, and follow training and procedures; align with university policies and procedures