software engineer

ai engineer

Zams

<div>
 At Zams, our vision is to turn every company into an AI company. Zams is the Sales Automation platform for B2B companies. Top reps use Zams to automate tasks across HubSpot, Slack, Clay, Apollo, Gong and 100+ tools,
 
 saving 20+ hours
 
 per week and closing
 
 3.2x more revenue
 
 .
 
 
 We&rsquo;re a small, scrappy team backed by some of the top venture capital firms in the US, moving fast with a strong bias for action and attention to detail. Joining Zams now means stepping onto the ground floor of a company with a massive mission and momentum. You&rsquo;ll have the chance to make an outsized impact, see your ideas go from concept to reality in weeks, and play a direct role in shaping how companies everywhere adopt AI. It&rsquo;s the perfect environment for someone who thrives in fast-paced startups, wants to learn quickly, and is ready to grow alongside a team that&rsquo;s defining the future of sales.
 
 
 
 About You
 
 
 
 As a Software Engineer at Zams, you'll be on the ground floor of an incredible opportunity to pair your engineering mastery with solving critical business challenges across industries. Zams is already powering automation for companies, and our users deeply value our speed, reliability, and customer-centric approach.
 
 
 In this role, you&rsquo;ll be a core contributor to the product itself&mdash;not just building features, but shaping the way the entire platform evolves. You&rsquo;ll work across all layers of the stack, from crafting intuitive frontends to architecting robust backend systems. This is a rare opportunity to touch every component of a high-impact product, while working side by side with the founding team.
 
 
 We're looking for someone who thrives in a scrappy, fast-paced environment, has strong knowledge of AI and LLMs, and is eager to learn continuously. You should be excited by the idea of solving a wide range of engineering and data challenges with autonomy and ownership. If you&rsquo;re passionate about building, shipping fast, and learning new things every day, we&rsquo;d love to meet you.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Be a key engineer driving the development of Zams&rsquo; core product, helping ship meaningful features rapidly and iteratively.
 </li>
 <li>
 Work end-to-end across the stack, including backend services, frontend interfaces, infrastructure, and developer tools.
 </li>
 <li>
 Handle critical aspects of frontend development, including routing, state management, authentication guards, and UI frameworks like Tailwind and ShadCN.
 </li>
 <li>
 Design, build, and scale reliable SaaS applications with a focus on performance and usability.
 </li>
 <li>
 Deploy and manage apps via Vercel or similar platforms.
 </li>
 <li>
 Leverage AI-powered developer tools such as Cursor or other coding copilots to accelerate engineering workflows.
 </li>
 <li>
 Collaborate closely with the founders and a small, agile team in an in-office environment, contributing to both customer-facing products and internal innovation projects.
 </li>
 <li>
 Continuously explore and integrate new tools, patterns, and frameworks to improve engineering velocity.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience as a Full Stack Developer (or similar role) in a professional environment
 </li>
 <li>
 Strong knowledge and experience with AI and LLMs
 </li>
 <li>
 Experience with Next.js and Node.js
 </li>
 <li>
 Strong with Typescript
 </li>
 <li>
 Proficiency in React.js, including libraries, state management, routing, and authentication guards.
 </li>
 <li>
 A history of working on multiple SaaS applications, either end-to-end or on key components.
 </li>
 <li>
 Demonstrated ability to work independently or in small teams, ideally in startup environments.
 </li>
 <li>
 Strong portfolio of personal passion projects, hackathon participation, or side projects.
 </li>
 <li>
 Entrepreneurial mindset&mdash;has either worked at a startup or attempted to start one.
 </li>
 <li>
 Highly motivated and in the early stages of their career (20s), eager to prove themselves and be part of something big.
 </li>
 <li>
 Strong ability to identify what makes a product &ldquo;good&rdquo; from both a technical and user perspective.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Equity Package
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Training &amp; Development
 </li>
 </ul>
</div>

Software Engineer

<div>
 Avy's mission is to empower humans to work more efficiently and effectively with each other and with technology in knowledge work positions. We believe that software that acts as your companion, looking out for your best interests and helping you level up at work in a trusted, secure way, will not only make the world more productive, but will improve quality of life for everyone it touches.
 
 
 Avy was founded by a serial founder and former leader in the AI/ML group at Apple, has team members with multiple exits (including an IPO), and is backed by over $11M in pre-seed and seed funding to ensure we can execute at the highest level.
 
 
 
 The Opportunity:
 
 
 
 As a
 
 Software Engineer at Avy
 
 , your job is to build great products that perform well and delight our users and customers.
 
 
 Our product spans a range of technologies, from the latest in AI and ML models. to server and cloud-based applications and infrastructure, to applications that run directly on user devices. You will have the opportunity to be exposed to and learn new technologies continuously.
 
 
 We value excellence in engineering skill over precise knowledge of specific technologies. Fast learners are welcome. That said, you need the chops to be able to dive in deep: debugging issues, improving performance, and truly understanding the behavior of the software you are developing and shipping.
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 
 Develop and ship features quickly
 
 by moving between multiple components and tech stacks to deliver end-to-end value.
 </li>
 <li>
 
 Combine the latest and greatest cutting-edge AI and engineering practices with proven engineering patterns
 
 to ensure reliability, scalability, testability, and maintainability
 </li>
 <li>
 
 Evaluate and adapt third-party tools, libraries and frameworks
 
 while maintaining deep understanding&mdash;no black box dependencies except where intentionally chosen
 </li>
 <li>
 
 Collaborate closely
 
 with product, design, and leadership to balance technical constraints with business goals and user needs
 </li>
 <li>
 
 Balance code clarity and architectural purity with velocity
 
 in the understanding that our product is rapidly evolving
 </li>
 <li>
 
 Optimize system performance
 
 across the entire stack, from model inference to distributed agent orchestration
 </li>
 <li>
 
 Promote effective engineering culture
 
 through rigorous testing, code reviews, and continuous integration
 
 
 </li>
 </ul>
 You might work on anything from prototyping a new multi-agent cloud system to troubleshooting a data race in server code to re-styling views in SwiftUI to optimizing a prompt for a local LLM.
 
 
 
 Avy is for you if:
 
 
 
 <ul>
 <li>
 You lift others up while maintaining exceptionally high standards
 </li>
 <li>
 You're compassionate with people while being rigorous with ideas
 </li>
 <li>
 You think big, love crazy ideas, and ask "what would it take?" instead of saying why it's not possible
 </li>
 <li>
 You thrive in uncertainty and ambiguity because it means more opportunity to solve hard problems and push the boundaries of what's possible
 </li>
 <li>
 You are experienced and bring perspective, but know that the world is rapidly changing and that to succeed we must all do things we've never done before
 </li>
 <li>
 You naturally ask 'can we get 80% of the value with 20% of the effort?' but know when to invest heavily for strategic advantage
 </li>
 <li>
 You are driven to not just meet expectations, but to consistently redefine them. You set a high bar for yourself and inspire those around you to do the same.
 </li>
 <li>
 You balance craftsman pride with the wisdom to ship fast and iterate
 </li>
 <li>
 You see failures as learning opportunities that accelerate our progress
 
 
 </li>
 </ul>
 
 You won't be happy at Avy if:
 
 
 
 <ul>
 <li>
 You're not looking to join a team competing in a highly competitive market. We aspire to be sustainably productive and are intentional in rest and relaxation, but the pace is intense.
 </li>
 <li>
 You let your exceptional talent bring you exceptional ego. We're all smart and talented, and we don't like jerks.
 
 
 </li>
 </ul>
 
 What we're looking for:
 
 
 
 <ul>
 <li>
 Multi language proficiency at least one statically typed language
 </li>
 <li>
 Proven experience in software engineering (6+ years) with at least 3 years in non-AI software development&mdash;you were a software engineer before AI was a buzzword
 </li>
 <li>
 Strong software architecture skills with ability to design and articulate complex, distributed systems
 </li>
 <li>
 Deep engineering fundamentals: Understanding of memory management, concurrency, and performance optimization
 </li>
 <li>
 Production AI/ML experience building and deploying agent systems or LLM-powered applications that solve real problems is desired but not required
 </li>
 <li>
 Track record as a self-starter who has taken projects from 0 to 1
 </li>
 <li>
 Team collaboration experience working in complex codebases with multiple components and contributors
 
 
 </li>
 </ul>
 
 We offer:
 
 
 
 <ul>
 <li>
 Competitive salary ($142,000-$188,000) with meaningful equity and substantial upside potential
 </li>
 <li>
 Competitive benefits (health, vision, dental, 401K, etc) and paid parental leave
 </li>
 <li>
 Annual "nomad sprint" where you can work from anywhere for a period of time
 
 
 </li>
 </ul>
 
 Logistics:
 
 
 
 <ul>
 <li>
 We cannot sponsor visas at this time
 </li>
 <li>
 This is a hybrid role in San Francisco or Salt Lake City (3+ days/week in office). You will be collaborating with others in the office and distributed across the U.S.
 </li>
 <li>
 Relocation assistance may be available for the right candidate
 </li>
 <li>
 Periodic travel for team meetings and retreats is required
 </li>
 <li>
 Developer-worthy equipment and tools are provided to ensure you have all you need to excel.
 </li>
 <li>
 Nearly endless opportunities for growth and advancement as the company succeeds and meets its objectives.
 
 
 </li>
 </ul>
 
 To Apply:
 
 
 
 Please submit a r&eacute;sum&eacute;, links, or anything else that helps us understand your background. We care more about aptitude and results than buzzwords.
</div>

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 We're looking for an AI Product Engineer to join the team responsible for Notion's database block&mdash; which powers views like tables, galleries, charts, forms, and more. As a strategic partner in shaping Notion's AI vision, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's databases more intelligent and capable.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 <ul>
 <li>
 Work with the team to prototype and experiment with new AI features
 </li>
 <li>
 Productionize and launch new AI technology integrations into Notion&rsquo;s core product
 </li>
 <li>
 Collaborate with cross-functional teams to deliver product features on time
 </li>
 <li>
 Stay up-to-date with the latest AI technologies and trends
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
 </li>
 <li>
 Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
 </li>
 <li>
 Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
 </li>
 <li>
 Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
 </li>
 <li>
 You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 </li>
 <li>
 You have interests outside of technology, such as in art, history, or social sciences.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $190,000 - $285,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, AI Product

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to develop and deploy generative AI applications at scale.
 
 
As a full-stack engineer on our team, you will be responsible for designing and implementing the front-end user experience and backend system architecture. You will drive the end-to-end development of the GenAI application for different use cases and industry applications, including chatbot/customer support, document processing, multimodal content creation, and various workflow automation solutions.
 
 
This role offers an opportunity to innovate at the forefront of AI, focusing on the solution development at massive scale and delivering next-generation AI solutions for AWS customers. 
 
 
 
Key job responsibilities 
<ul><li>Design, develop, deploy, and optimize generative AI solutions built on AWS services</li><li>Develop responsive, intuitive user interfaces using modern front-end technologies (e.g., React, Javascripts)</li><li>Customer collaboration: interact with enterprise customers to understand their business and technical challenges, co-developing tailored generative AI solutions</li><li>Translate prototypes into production-ready, scalable systems</li></ul> 
A day in the life 
As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You&rsquo;ll also: 
<ul><li>Build high-impact Gen AI solutions to deliver to our large customer base</li><li>Participate in design discussions, code review, and communicate with internal and external stakeholders</li><li>Work cross-functionally to help drive business solutions with your technical input</li><li>Work in a startup-like development environment, where you&rsquo;re always working on the most important stuff</li></ul> 
About the team 
ABOUT AWS: 
 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
AWS Global Services 
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems</li><li>Experience with Gen AI implementation including front-end development (e.g., HTML, CSS, JavaScript, React), back-end model integration and API design</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full stack development experience</li><li>Experience building complex software systems that have been successfully delivered to customers</li><li>Hands-on experience with prompt engineering, vector database, retrieval augmented generation (RAG), agentic AI, guardrails, and other Gen AI toolings and patterns</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Machine Learning Engineer, Gen AI Innovation Center, AWS

Waymo

<div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The Perception Evaluation team at Waymo is at the forefront of autonomous driving, ensuring the safety and reliability of our self-driving technology. We develop and utilize cutting-edge tools and methodologies to rigorously assess the performance of our Perception systems, a critical component for safe and effective autonomous operation. We are seeking a Staff Software Engineer play a pivotal role in shaping the future of transportation by directly impacting the quality and reliability of Waymo's autonomous vehicles.

In this hybrid role, you will report to a Staff Technical Lead Manager.

You will: 
<ul>
<li>Lead Advanced Evaluation Framework Design: You will be responsible for the architectural design and development of innovative evaluation frameworks to thoroughly assess perception system performance, particularly in new and diverse urban environments. This includes defining technical specifications and ensuring robustness.</li>
<li>Innovate with AI in Evaluation Methodologies: You will develop and implement cutting-edge evaluation methodologies and scalable pipelines. This involves leveraging advancements in large-scale AI models (including language and multimodal models) to enhance analysis, generate deeper insights, and pioneer new ways to assess performance.</li>
<li>Utilize Simulation and Reference Data Systems: You will drive the use of large-scale inference and simulation systems to establish performance benchmarks, validate perception capabilities, and proactively identify potential perception challenges in a variety of scenarios.</li>
<li>Drive End-to-End Platform Delivery: You will exercise complete end-to-end ownership in delivering a robust and adaptable discovery evaluation platform. This platform must be capable of supporting rapid iteration and meeting the demanding timelines associated with Waymo's city expansions, enabling proactive problem-solving.</li>
<li>Integrate Evaluation with ML Development Cycles: You will collaborate closely with Machine Learning and Data Infrastructure teams. Your responsibility is to ensure that evaluation findings are seamlessly integrated into the data-driven model development loop, creating a flywheel to accelerate training, hillclimbing, and overall system improvement.</li>
<li>Resolve Complex Technical Challenges: You will proactively identify, troubleshoot, and resolve complex technical hurdles within the perception evaluation domain. This involves deep technical investigation and ensuring the delivery of high-quality, actionable feedback for system enhancements, often under tight deadlines.</li>
</ul>
You have:
<ul>
<li>8+ years of experience designing and building complex, scalable systems</li>
<li>Demonstrated technical leadership in defining long-term strategy, developing roadmaps, and guiding teams to execute projects from ambiguous requirements to high-impact deliverables</li>
<li>Demonstrated ability to work effectively across diverse teams and communicate technical concepts clearly</li>
<li>Deep expertise in the evaluation of Machine Learning systems at scale, encompassing metrics design, rigorous experimentation, large-scale data analysis, and statistical methods</li>
<li>Hands-on experience with ML infrastructure, modern AI concepts (including foundation models or similar), and their practical application to solve real-world problems</li>
<li>Proficiency in C++ and Python in a production environment</li>
<li>Excellent problem-solving skills, clear technical communication, and a strong sense of end-to-end ownership</li>
</ul>
We prefer:
<div>
<ul><li>Familiarity with autonomous vehicle systems, particularly Perception, including typical data pipelines and evaluation processes</li>
<li>Hands-on experience with data analysis, visualization, and triage tools &amp; workflows, with a knack for identifying improvement areas</li>
<li>Experience in designing and implementing efficient data processing workflows for large datasets</li>
<li>Familiarity with or experience in developing solutions using Generative AI or building AI agents</li>
</ul>
</div><div><div><div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div>

Staff Software Engineer, Perception Evaluation

Uber

<div>About the Role
 
 
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
 
 
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
 
 
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
 
 
About the Team
 
 
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
 
 
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
 
 
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
 
 
What You'll Do
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul>Basic Qualifications
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul>Preferred Qualifications
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

Hamilton Porter

<div>
 
 
 Seed Stage Founding Software Engineer
 
 -
 
 Consumer Offering
 
 -
 
 Health Advocacy tool
 
 
 
 
 
 
 Based in
 
 San Francisco
 
 and backed by world-class doctors and investors, including
 
 the founding team of OpenAI and Facebook AI Research
 
 . Come build an
 
 AI-enabled virtual brain health clinic
 
 and our own stack, where doctors and AI Agents deliver the best-in-class recovery care at scale. We're looking for a Founding Engineer to help bring this vision to life. This is your chance to shape the future of mental digital health.
 
 
 
 
 
 As the Senior Software Engineer, you will report and work directly to the CTO and will be responsible for leading the end to end delivery, managing the complete front end software development process as we look to built out and scale our consumer health offering.
 
 
 
 
 
 
 Tech Stack
 
 : React, Next.JS, Tailwind, API - Gateway, Lambda AWS, etc.
 
 
 
 
 
 
 What do we need from you:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or years of Software Engineering experience (perk if previous SaaS/Healthtech startup type experience)
 </li>
 <li>
 Looking for an
 
 expertise in React and Next.JS with professional Software Engineering experience having full end to end software product experience.
 
 </li>
 <li>
 You move fast - you desire to ship, learn, and improve within days not months
 </li>
 <li>
 Comfortable with AWS and a similar enterprise Cloud Offering
 </li>
 <li>
 Interested in AI tools and exploring new frameworks and best practices
 </li>
 <li>
 Able to speak to design/architecture decisions of the things you have built previously
 </li>
 <li>
 Desire to take ownership of functionality, pushing for good architecture and design decisions and making sure to understand how the complex systems work.
 </li>
 <li>
 Preference for building quality enterprise grade solutions with complete autonomy
 </li>
 <li>
 You likely are someone who genuinely enjoys solving complex problems
 </li>
 <li>
 Would love to see an active Github account or personal tech projects showing your open source contributions and your desire to consistently grow and solve interesting problems even outside of work.
 </li>
 </ul>
 
 
 
 
 
 Company Perks:
 
 
 <ul>
 <li>
 Base Salary with early stage equity
 </li>
 <li>
 Top of the line technology of your choosing (We tend to prefer Apple products)
 </li>
 <li>
 Flexible get it done company culture, flexible PTO schedule
 </li>
 </ul>
 
 
 
 
 
 Apply today, or send resumes directly to: Courtney@Hamilton-Porter.com
 
 
</div>

Senior Software Engineer

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