Menlo Park, CA

Data Jobs in Menlo Park, CA

3 jobs found

Include remote jobs

Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

Today

Full time Artificial Intelligence Data Science Genai

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Job Description

Hudson Manpower offers a fully remote GenAI, machine learning, and data science role designed for senior practitioners. This is a 100% remote, W2 opportunity requiring 10+ years of hands-on experience. No H1B sponsorship is available. The position supports flexible work arrangements and invites experienced professionals who thrive in collaborative, innovative environments to contribute to advanced AI initiatives.

The team values a proactive mindset and a deep commitment to solving hard problems with GenAI and AI methods. If you excel in autonomous yet collaborative work, this role provides an environment to influence real-world AI outcomes while maintaining a strong focus on quality and impact.

Responsibilities

Develop prototypes, PoCs, and MVPs using Python and related GenAI/ML frameworks and tools, including Hugging Face, Langchain, OpenAI API, TensorFlow, Keras, PyTorch, Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Requirements

No H1B candidates
Only W2 candidates
Experience: 10+ years
100% remote

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Skill Sets

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Proficiency in Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard AI problems

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6d ago

Analytics Engineer - AI Trainer

DataAnnotation Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

6d ago

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

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Job Description

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote contract role based in Menlo Park, CA. The position centers on helping train AI models by assessing quantitative outputs, crafting problems for training and benchmarking, and delivering feedback that improves AI systems designed for quantitative reasoning.

Responsibilities

Assess AI generated quantitative work across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to verify technical accuracy and real-world validity.
Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs the next generation of AI models focused on quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred; an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (for example, Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you undertake and when you work, using your own computer from home.
Competitive pay: hourly rates of USD 50 to 100, with bonus rates available on some projects.
Impact: contribute to shaping AI systems that reason about data and analytics.

Note

Payment is processed via PayPal. We will not ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

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2mo ago

Senior Data Analytics Engineer

Snowflake Menlo Park, CA

Menlo Park, CA

2mo ago Closed

$230k - $259k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Based in Menlo Park, California, this onsite role at Snowflake centers on owning and evolving the company's internal data platform. The Senior Data Analytics Engineer shapes architecture, governance, and data workflows while advancing AI-enabled data engineering and dbt at scale. The position carries a salary range of USD 230,000 - 258,750 per year.

Responsibilities

Define the architecture and design principles for Snowflake's internal data platform, taking ownership of data flows, governance, and access across Finance, Sales, HR, and other essential functions.
Lead cross-functional data programs from problem framing through delivery, coordinating Engineering, Analytics, and Business Systems stakeholders on scope and rationale.
Develop and enforce scalable RBAC structures, row-level access policies, and data masking to ensure appropriate data access with governance controls.
Promote AI-enabled data workflows by integrating LLM-powered tools, Cortex Agents, and automation into the data engineering practice.
Establish scalable dbt standards, including modeling conventions, testing frameworks, and CI/CD practices for the entire data team.
Influence multiple teams through architecture documentation, technical specifications, and stakeholder-oriented materials to align efforts and accelerate delivery.
Identify and mitigate systemic data quality, performance, and reliability challenges, elevating the definition of done for the platform.

Requirements

8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience.
Deep expertise with Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks).
Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management.
Strong proficiency with AI development tools, including LLM-powered workflows, agent frameworks (Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases.
Experience designing and implementing RBAC frameworks at scale, including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms.
Excellent written and verbal communication skills, with a track record of producing clear technical specs, architecture documents, and stakeholder-facing materials.
Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams.

Technologies

Snowflake
Cortex Agents
Claude Code
Cortex Code
dbt Core
dbt Platform
Dynamic Tables
Streams
Tasks
Python
Snowflake Cortex AI
GenAI-native data tooling
LLM-powered workflows

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending account and health savings account options
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits
Bonus and equity plan eligibility

Preferred Skills

Experience at a technology company operating a large-scale internal data platform
Familiarity with Python for data pipeline development, scripting, and automation
Experience presenting technical content to external audiences (customers, conferences)
Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments

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Data Jobs in Menlo Park, CA

GENAI / MACHINE LEARNING AI / DATA Scientist

Analytics Engineer - AI Trainer

Senior Data Analytics Engineer

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