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data analyst, growth - san francisco Jobs in San Francisco

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data platform & engineering intern

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data scientist, marketing innovation

data engineer

Cargomatic

<div>Senior Data Architect &ndash; Data Engineering

Location: San Francisco, CA 
Reports To: VP of Engineering 
FLSA Status: Exempt 
Employment Type: Full-Time 
Compensation: $140,000 &ndash; $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture &amp; Engineering
<ul>
<li>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
</li>
<li>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
</li>
<li>Define standards for data governance, reliability, performance, and cost optimization
</li>
<li>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)
</li>
</ul>AI &amp; LLM-Enabled Systems
<ul>
<li>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
</li>
<li>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
</li>
<li>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
</li>
<li>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks
</li>
</ul>Backend &amp; API Development
<ul>
<li>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
</li>
<li>Ensure observability, monitoring, and cost controls across AI and data services
</li>
<li>Contribute to microservices architecture and distributed system design
</li>
</ul>Collaboration &amp; Leadership
<ul>
<li>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
</li>
<li>Mentor junior engineers and contribute to architectural standards and best practices
</li>
<li>Drive innovation in data engineering and AI-powered logistics systems
</li>
</ul>Qualifications
<ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience
</li>
<li>8+ years of software or data engineering experience in production environments
</li>
<li>Strong expertise in data modeling, distributed systems, and scalable cloud architectures
</li>
<li>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
</li>
<li>Advanced SQL skills and deep understanding of modern storage formats
</li>
<li>Proficiency in Python and RESTful API development
</li>
<li>Experience integrating LLM APIs into production applications
</li>
<li>Strong understanding of system reliability, observability, and cost management in cloud environments
</li>
</ul>Desired Experience
<ul>
<li>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
</li>
<li>Experience designing multi-agent or agentic AI workflows with orchestration frameworks
</li>
<li>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
</li>
<li>Experience with microservices architecture and distributed system design
</li>
<li>Exposure to transportation, logistics, or supply chain domains
</li>
<li>Active GitHub contributions or demonstrated passion for emerging AI and data technologies
</li>
</ul>Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:
<ul>
<li>Medical, Dental, and Vision insurance
</li>
<li>401(k) with company match
</li>
<li>Flexible Spending Accounts (FSA)
</li>
<li>Company-paid Life and Disability insurance
</li>
<li>Flexible Paid Time Off (PTO) and company holidays
</li>
<li>Paid Parental Leave
</li>
<li>Employee Assistance Program (EAP)
</li>
<li>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
</li>
<li>Collaborative, high-impact team environment
</li>
</ul>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Application deadline: Applications will be accepted on an ongoing basis 
 
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses.
 
 
<ul><li>Please list your service in your resume to be considered for this position.</li></ul> 
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? 
 
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. 
 
Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
 
 
At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. 
 
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. 
 
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. 
 
We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States including but not limited to:
 
 
<ul><li>CA (Culver City, San Francisco, Santa Clara, Sunnyvale)
</li><li>CO (Denver)
</li><li>MA (Boston)
</li><li>NJ (Jersey City)
</li><li>NY (New York)
</li><li>VA (Arlington)
</li><li>WA (Bellevue, Seattle, Redmond)
</li></ul>***Locations are subject to change*** 
 
During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas: 
 
&bull; Machine Learning &bull; Distributed Systems and Data Management &bull; Database Systems &bull; Quantum Computing &bull; Network Development &bull; Query Processing and Optimization &bull; Automated Reasoning &bull; Embedded Systems &bull; Data Engineering &bull; Mobile Development &bull; Game Development 
 
While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles. 
 
Key job responsibilities 
<ul><li>Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.</li><li>Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.</li><li>Participate in code reviews and contribute to technical documentation.</li><li>Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.</li><li>Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
</li><li>Write clean, maintainable code following best practices and design patterns.</li><li>Work in an agile environment practicing CI/CD principles while participating in operational responsibilities.</li><li>Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.</li></ul> 
A day in the life 
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
 
 
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields</li><li>Expected conferral date between October 2026 &ndash; September 2029</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript</li><li>Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles</li><li>Experience from previous technical internship(s) or demonstrated project experience</li><li>Demonstrated ability to learn and adapt to new technologies quickly</li><li>Basic understanding of software development lifecycle (SDLC)</li><li>Strong problem-solving and analytical skills</li><li>Excellent written and verbal communication skills</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. 
USA, CA, SAN FRANCISCO - 127,100.00 - 185,000.00 USD annually 
USA, CA, San Francisco - 127,100.00 - 185,000.00 USD annually 
USA, CA, Santa Clara - 122,600.00 - 170,000.00 USD annually 
USA, CA, Santa Clara - 127,100.00 - 185,000.00 USD annually 
USA, CO, DENVER - 110,500.00 - 160,000.00 USD annually 
USA, CO, Denver - 110,500.00 - 160,000.00 USD annually 
USA, MA, BOSTON - 110,500.00 - 160,000.00 USD annually 
USA, MA, Boston - 110,500.00 - 160,000.00 USD annually 
USA, NJ, Jersey City - 121,600.00 - 180,600.00 USD annually 
USA, NY, BROOKLYN - 121,600.00 - 180,600.00 USD annually 
USA, NY, Carle Place - 121,600.00 - 180,600.00 USD annually 
USA, NY, New York - 121,600.00 - 180,600.00 USD annually 
USA, VA, ARLINGTON - 110,500.00 - 160,000.00 USD annually 
USA, VA, Arlington - 110,500.00 - 160,000.00 USD annually 
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually</div>

Software Development Engineer Internship - Military Veteran

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About the Team</h2>
The Data Platform &amp; Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</div><div></div><div><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Summer Intern to join the Data Platform &amp; Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering, depending on your strengths and interests.
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.
You will:<ul><li>
Build and improve data pipelines using SQL and Python</li><li>
Contribute to the development and reliability of our data platform infrastructure</li><li>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</li><li>
Improve data quality, observability, and governance across systems</li><li>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</li><li>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</li></ul>
Depending on your focus, projects may lean more toward:<ul><li>
Data Engineering: modeling, transformation, orchestration, analytics enablement</li><li>
Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field</li><li>
Strong proficiency in SQL and Python</li><li>
Solid understanding of data modeling principles and relational databases</li><li>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</li><li>
Comfort working in a collaborative, fast-moving engineering environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</li></ul>
Nice to Have:<ul><li>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</li><li>
Exposure to cloud infrastructure (AWS, GCP, or similar)</li><li>
Experience working with large datasets or analytics systems</li><li>
Interest in AI/ML systems or agent-based workflows</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
Real-world experience building production-grade data infrastructure</li><li>
Exposure to modern data platform architecture at scale</li><li>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</li><li>
Mentorship from experienced data and platform engineers</li><li>
A meaningful, scoped project with measurable impact</li></ul></div></div></div></div>

Data Platform & Engineering Intern

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Modis

<div>
 Akkodis is seeking a
 
 Mechanical Design Engineer/Robotics Engineer
 
 for a
 
 contract
 
 job with a client in
 
 Fremont, CA
 
 . Responsibilities include developing and manufacturing an autonomous delivery robot platform and collaborating with cross-functional teams to ensure efficient production and quality control.
 
 
 
 Rate Range:
 
 $45/hour to $48/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 
 
 
 Mechanical Design Engineer/Robotics Engineer Job Responsibilities Include
 
 
 
 <ul>
 <li>
 Develop and manufacture an autonomous delivery robot platform.
 </li>
 <li>
 Collaborate with Hardware Engineering and Technician teams to prepare for product launch.
 </li>
 <li>
 Manage day-to-day production and respond to quality issues on the frontline.
 </li>
 <li>
 Ensure component traceability for product shipments and maintain production documentation.
 </li>
 <li>
 Interface with Design-Responsible Engineers (DREs) to bring products to reality.
 </li>
 <li>
 Scale and sustain the manufacturing of next-generation delivery robots.
 </li>
 <li>
 Set up and manage quality control processes to ensure product consistency and reliability.
 
 
 </li>
 </ul>
 
 Desired Qualifications
 
 
 
 <ul>
 <li>
 BS or MS in Manufacturing Engineering, Robotics, or a related field.
 </li>
 <li>
 Minimum of 3 years of industry experience in robotics, micro-mobility, autonomous vehicles, or automotive.
 </li>
 <li>
 Experience supporting production lines with operators and technicians.
 </li>
 <li>
 Strong communication, documentation, and quality control setup experience.
 
 
 </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 
 mohammed.ateeq@
 
 
 akkodisgroup.com
 
 
 
 
 Pay Details:
 
 $45.00 to $48.00 per hour
 
 
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 
 
 Equal Opportunity Employer/Veterans/Disabled
 
 
 Military connected talent encouraged to apply
 
 
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 
 
 
 Requirements
 
 
 
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 
 
 <ul>
 <li>
 The California Fair Chance Act
 </li>
 <li>
 Los Angeles City Fair Chance Ordinance
 </li>
 <li>
 Los Angeles County Fair Chance Ordinance for Employers
 </li>
 <li>
 San Francisco Fair Chance Ordinance
 
 
 </li>
 </ul>
 
 Massachusetts Candidates Only:
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>

Mechanical Design Engineer/Robotics Engineer

Delve Underground

<div>Delve Underground is a leader in underground and heavy civil engineering serving the transportation, water, wastewater, and energy industries. Specializing in tunnel design, we provide practical solutions to the most challenging underground problems. We offer comprehensive design, construction management, and construction claims services, with expertise extending across a wide range of engineering disciplines, including civil, structural, and geotechnical engineering. Our primary focus is to make a significant impact on the advancement of infrastructure projects, which in turn shape and enhance the communities we serve. Founded in 1954, as Jacobs Associates, Delve Underground is an employee-owned firm with 25 offices and 350 team members throughout the United States, Canada, Australia, and New Zealand.
We want our employees to make a career doing what they love to do. We encourage an entrepreneurial spirit and help our team members forge their own path within the company. We support their efforts to stay on the cutting edge of technology while fostering a great work-life balance. In addition to working hard, we also have fun. We socialize and celebrate achievements at summer picnics, holiday parties, and company outings.
Benefits: Full Benefits Program consisting of Medical, Dental, Vision, Life, Disability, FSA or HSA, EAP, 401(k), ESOP, and company stock ownership program, 9 Paid Holidays, generous paid-time-off program, Work from home flexibility, and Health &amp; Wellness Reimbursement
Pay Rate: $83,325 - $104,156
Assistant Office Engineer
Delve Underground is looking for an Assistant Office Engineer with 1-3 years of construction management experience in heavy civil or underground construction, to assist the Office Engineer in daily construction management duties.
Responsibilities:<ul><li>
Work with the Resident Engineer and the Office Engineer to assist them with receiving and logging field paperwork, to include;
<ul><li>Requests for Information (RFI)</li>
<li>Requests for Clarification (RFC)</li>
<li>Non Conformance Report (NCR)</li>
<li>Contractor Submittals</li>
<li>Construction Schedules</li>
<li>Inspection Reports and Logs</li>
<li>Meeting Minutes and assist with Agendas</li>
<li>Permitting</li>
<li>Change Management Logs</li>
</ul></li><li>Review submittals for completeness and conformance with contract documents</li><li>
Perform review and organize Change Orders, Overruns, T&amp;M Sheets and Certified Payroll.</li><li>
Participate in construction field meetings.</li><li>
Perform occasional field inspections of the contractor's work.</li><li>
Perform other tasks as deemed necessary to facilitate the construction work.</li></ul>
Qualifications:<ul><li>
BS in Civil Engineering, Construction Project Management, or other related construction field.</li><li>
1-3 years' experience with civil infrastructure construction and inspection.</li><li>
Experience in tunneling, microtunneling, and shaft excavation construction is preferred.</li><li>
Ability to manage multiple concurrent assignments and priorities.</li><li>
Strong analytical and technical communication skills.</li><li>
Strong organizational skills.</li><li>
Strong written and oral communication skills</li><li>
Computer proficiency and versed in Microsoft Office, including but not limited to Outlook, Word, Excel, Power Point.</li><li>
CAD knowledge and drafting experience is a plus.</li><li>
Experience with ProjectSight software is ideal.</li><li>
Experience with reading contract drawings and specifications.</li><li>
Willingness to relocate for assignments as needed.</li><li>
Willingness to work swing or night shifts when needed for inspection services.</li><li>
Ability to meet the physical requirements of the position to perform field inspections which include: the ability to navigate over rough terrain, descend/ascend ladders into trenches or deep shafts, and the ability to carry up to 30 lbs. as needed.
</li><li>Experience with OSHA, construction and similar safety requirements.</li><li>
OSHA 10 hour, ACI (Grade 1), Hazwoper, Hot Work, Confined Space, Fall protection and additional training certificates preferred.</li></ul>
ARE YOU READY TO JOIN OUR TEAM?
If you feel that you would be right for this position, please fill out our initial 3-minute, mobile-friendly application so that we can review your information. We look forward to meeting you!
Delve Underground is an EEO/Affirmative Action Employer and will make all employment related decisions without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Compensation reflects the cost of labor across our US geographic markets. Pay is based on several factors including market location, experience, knowledge, and skills.
No Recruiters, Please.</div>

Assistant Office Engineer

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