software engineer

software engineer i Jobs in San Francisco

software engineer i

software engineer, frontend Jobs in San Francisco

software engineer, frontend

ai robotics research engineer Jobs in San Francisco

ai robotics research engineer

frontend software engineer Jobs in San Francisco

frontend software engineer

machine learning engineer

Beacon Talent

<div><div><h2 class="jobSectionHeader"><b>Our client
</b></h2><p>Our client is building AI infrastructure for the next era of learning, with a mission to make one-on-one, world-class tutoring accessible to every learner. Their products already reach hundreds of thousands of students worldwide, and they&rsquo;ve recently closed a top-tier seed round to accelerate growth. The team blends deep technical expertise with a passion for impact, and they are expanding in Berkeley to push the boundaries of real-time, personalized AI learning experiences.
</p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p>They are hiring a <b>Machine Learning / AI Engineer </b>to design, prototype, and ship machine learning systems with a strong focus on large language model (LLM) workflows, real-world evaluation, and deployment readiness. This is a hands-on engineering role (not research-focused) where you&rsquo;ll work closely with product, design, and engineering teams to bring powerful AI into real student experiences.
</p><p><b>Location: </b>On-site, Berkeley, CA
<br>
<b>Experience Level: </b>0&ndash;2 years
<br>
<b>Type: </b>Full-time, in-office
<br>
<b>Compensation: </b>Top-of-market cash with meaningful equity (0.1&ndash;0.3%)
</p><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><ul><li><p>Build, scale, and own ML/AI systems.
</p></li><li><p>Design evaluation pipelines and apply them to iteratively improve performance.
</p></li><li><p>Collaborate cross-functionally to ship student-facing ML features.
</p></li><li><p>Drive high-quality, high-speed execution in a startup environment
</p></li></ul><h2 class="jobSectionHeader"><b>Requirements
</b></h2><ul><li><p>0&ndash;2 years of professional ML engineering experience, ideally in product-facing roles.
</p></li><li><p>Strong machine learning and software engineering skills.
</p></li><li><p>Proficiency with Python and frameworks such as FastAPI or Django, plus experience with Postgres.
</p></li><li><p>Hands-on experience with LLMs: orchestration, context management, evaluation, and fine-tuning.
</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, or Azure).
</p></li><li><p>Passion for building impactful products.
</p></li></ul><h2 class="jobSectionHeader"><b>Benefits &amp; Why Join
</b></h2><ul><li><p>Competitive cash + equity package.
</p></li><li><p>Direct mentorship from senior AI engineers and researchers.
</p></li><li><p>Work that ships fast and impacts learners directly.
</p></li><li><p>Opportunity to join at an early stage and help shape both the product and the company.</p></li></ul></div></div>

Machine Learning Engineer / AI Engineer

DigitalOcean

<div>
 Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you&rsquo;ll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.
 <br/>
 <br/>
 We are looking for a Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
 <br/>
 <br/>
 The GenAI team is responsible for creating tools so that developers can easily create AI Agents for real world problems. We&rsquo;re a fast-pace team looking to build the next generation of AI/ML workflows on DigitalOcean.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive large cross-functional projects independently to completion
  </li>
  <li>
   Design and implement machine learning models and systems, focusing on integration with backend services using Go, and Python
  </li>
  <li>
   Collaborate with product and engineering teams to build intuitive user interfaces using React and TypeScript, enabling end-users to interact with ML-powered features.
  </li>
  <li>
   Maintain and develop the Go and GraphQL API
  </li>
  <li>
   Ensure the reliability, scalability, and performance of ML systems by leveraging best practices in software engineering, data processing, and model deployment.
  </li>
  <li>
   Stay current with advancements in machine learning and generative AI, and apply new techniques to enhance product capabilities and user experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Add To DigitalOcean
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong interest in development platforms, Data Engineering, MLOps, AI, CI/CD, infrastructure or making products for technical teams
  </li>
  <li>
   Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
  </li>
  <li>
   2+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript
  </li>
  <li>
   Demonstrated design and UX sensibilities
  </li>
  <li>
   Knowledge of API standards including REST or GraphQL
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Like Working for DigitalOcean
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We innovate with purpose. You&rsquo;ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  </li>
  <li>
   We prioritize career development. At DO, you&rsquo;ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  </li>
  <li>
   We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  </li>
  <li>
   We reward our employees. The salary range for this position is $150,000 - $180,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  </li>
  <li>
   We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
  </li>
  <li>
   This is a remote role
   <br/>
   <br/>
  </li>
 </ul>
</div>


Software Engineer - GenAI (Full-Stack)

Chalk

<div>
 <p>
  <strong>
   <u>
    About Chalk
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a
  <u>
   $50 million Series A
  </u>
  , led by Felicis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We work in-person Monday through Friday in our SF and NY offices. We don&rsquo;t currently offer remote or hybrid positions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for software engineers who are comfortable solving business problems across all layers of the software stack. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We need engineers who can build world-class user experiences across CLI and web surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What you will do
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
  </li>
  <li>
   Write TypeScript, Python, Go, and React
  </li>
  <li>
   Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments
  </li>
  <li>
   Iterate rapidly to improve Chalk&rsquo;s platform in response to customer needs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What we&rsquo;re looking for
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2+ years experience of professional software engineering experience
  </li>
  <li>
   Working knowledge of computer science fundamentals. We&rsquo;re not looking for experience from drilling leet code &ndash; we need folks who are comfortable building and maintaining real systems
  </li>
  <li>
   A record of developing sophisticated user-facing applications that are pleasant to use
  </li>
  <li>
   An eye for high-quality UX
  </li>
  <li>
   Track record of learning new concepts quickly
  </li>
  <li>
   Ability to work autonomously &amp; to make pragmatic tradeoffs with an eye towards business outcomes
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Bonus points
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience implementing data infrastructure
  </li>
  <li>
   Experience working with developer tools
  </li>
  <li>
   Experience with applied machine learning or data analytics
  </li>
  <li>
   Experience with Go
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚕️Comprehensive medical, dental, and vision insurance
 </p>
 <p>
  🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)
 </p>
 <p>
  🦮 Expert Healthcare Guidance
 </p>
 <p>
  💵 Retirement savings
 </p>
 <p>
  🎄15 company holidays each year
 </p>
 <p>
  🏖️15 days of personal time off each year
 </p>
 <p>
  🚌 Flex Commuter Benefits
 </p>
 <p>
  🌮 Daily lunch and dinner on Chalk
 </p>
 <p>
  🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 </p>
 <p>
  🍽️ Staying late? Dinner is on us
 </p>
 <p>
  🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Compensation
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk&rsquo;s growth and us achieving our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Inclusivity
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 </p>
</div>


Full Stack Software Engineer

GHKTech

<p>Job Title: Data Scientist - Co-Pilot/AI/Agentic tools</p><p>(Long-Term Contract &ndash; 12+ Months)</p><p>Location: Hybrid &ndash; 1 Day/ Week in San Francisco downtown, Remote rest of the week</p><p>Job Overview: We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12+ months) designed for professionals who are passionate about leveraging AI to solve complex business problems in the supply chain and IT space. The ideal candidate will bring hands-on experience with AI and Co-Pilot tools, demonstrate strong capabilities in deploying agentic AI solutions, and be comfortable communicating technical concepts to both technical and non-technical stakeholders. This is a hybrid role, requiring one day per week onsite at our client&rsquo;s San Francisco downtown office, with the flexibility to work remotely the rest of the week.</p><p>Key Responsibilities: <b>Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions. </b> Design, develop, and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making. <b>Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks. </b> Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support. <b>Translate complex data insights into clear, actionable recommendations through compelling visualizations, presentations, and written reports. </b> Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows. <b>Stay updated on the latest advancements in AI, machine learning, and supply chain technologies to continuously enhance solution capabilities.</b></p><p>Required Qualifications: <b>Proven experience as a Data Scientist with a strong portfolio of AI/ML projects. </b> Strong hands-on expertise with AI tools, libraries, and frameworks. <b>Demonstrated experience deploying agentic AI solutions (e.g., AI agents that perform autonomous decision-making or task execution). </b> Strong understanding and practical experience with Co-Pilot tools. <b>Excellent verbal and written communication skills, with a proven ability to present technical findings to diverse audiences. </b> Comfortable working in IT-driven environments, collaborating with engineers, analysts, and business users.</p><p>Preferred Skills: <b>Experience in Supply Chain operations or technology is strongly preferred. </b> Familiarity with cloud platforms and MLOps practices. <b>Background in retail or logistics data analytics. </b> Experience with large language models (LLMs), retrieval-augmented generation (RAG), or enterprise knowledge management tools. <b>Understanding of data governance, security, and compliance in enterprise settings</b></p><p>Job Type: Contract</p><p>Pay: From $80.00 per hour</p><p>People with a criminal record are encouraged to apply</p><p>Experience:</p><ul><li>Data science: 10 years (Required)</li><li>AI: 3 years (Required)</li></ul><p>Ability to Commute:</p><ul><li>San Francisco, CA 94103 (Required)</li></ul><p>Work Location: Hybrid remote in San Francisco, CA 94103</p>

Data Scientist - Copilot and AI tools- Retail industry

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
We are seeing Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.<br>
<br>
This role is based in San Francisco, CA.<br>
<br>
You Will<br>
<ul><li>Maintain and improve the systems which power discovery on Twitch</li><li>Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators</li><li>Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Computer Science or a related field (or equivalent industry experience as a Software Engineer)</li><li>1+ years of experience delivering high quality software in a production environment</li><li>Proficient coding skills in modern languages and frameworks</li><li>Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals</li><li>Willingness to try new things and collaborate with a diverse group of people</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker)</li><li>Experience writing Go in production systems</li><li>Experience with recommendations, search, or notification systems</li><li>Experience building and maintaining ML systems in production environments</li><li>Familiarity with Twitch and/or streaming on Twitch</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/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>

Software Engineer

Nimble Robotics

<div><div><div><b>About Nimble</b></div><div></div><div><br>
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We&rsquo;re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team.</div><div></div><div><br>
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.</div><div></div><div><br>
Our long-term vision is to invent the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.</div><div></div><div><br>
We were founded from the AI labs at Stanford and Carnegie Mellon. We&rsquo;re backed by the World&rsquo;s most prestigious investors and Nimble&rsquo;s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford&rsquo;s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)!</div><div></div><div><br>
Join us to leave your mark on the future of robotics, AI, and logistics!</div><div></div><div><br>
Link: Introducing Nimble &ndash; Intelligent Fulfillment Robots at Scale</div><div></div><div><b><br>
Why Join Nimble?</b></div><div>
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.</div><div></div><div><b><br>
Nimble's Core Values:</b></div><div><b>
Be relentlessly resourceful</b> - <i>Challenge the status quo. Make the impossible, possible. Do whatever it takes.</i></div><div><b>
Be legendary</b> - <i>Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.</i></div><div><b>
Be humble</b> - <i>Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.</i></div><div><b>
Be dependable</b> - <i>Take ownership and deliver. Be loyal to your team and Nimble's mission.</i></div><div></div><div><b><br>
The Role</b></div><div></div><div><br>
Nimble is looking for an AI Research Engineers to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.</div><div></div><div><br>
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world&rsquo;s biggest robotics opportunity.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more</li><li>
Develop data collection pipelines</li><li>
Design data annotation and labeling</li><li>
Support implementation of models into production systems</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><ul><li><ul><li>P.h.D in Robotics or Computer Science</li><li>
Experience training deep learning models for robotic manipulation or mobility</li><li>
Experience working with real robotic hardware</li><li>
Experience training models in simulation and developing simulation environments</li><li>
Experience collecting custom datasets</li><li>
Experience training on open-source datasets</li><li>
Strong track record of publishing papers and/or deploying real-world applications</li><li>
Experience with system architecture, design and development</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Additional Requirements</b></h3><ul><li><ul><li>
Must be able to work extended hours and weekends as needed</li><li>
Must be able to work in San Francisco</li></ul></li></ul></div></div>
<div><div>$200,000 - $280,000 a year</div></div>
<div><div><b>Culture:</b></div><div>
We embrace challenges and strive to make the impossible possible each day. We&rsquo;re not in this to do what&rsquo;s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We&rsquo;re ambitious, we&rsquo;re gritty, we&rsquo;re humble and we&rsquo;re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!</div><div></div><div><b><br>
Press:</b></div><div></div><div><br>
Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx</div><div></div><div><br>
Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance</div><div></div><div><br>
Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.</div><div></div><div><b><br>
Nimble's Benefits</b></div><div></div><div><b><br>
Paid Time Off</b></div><div>
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.</div><div></div><div><b><br>
Health Insurance</b></div><div>
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.</div><div></div><div><b><br>
Paid Parental Leave</b></div><div>
Enjoy paid bonding time following a birth.</div><div></div><div><b><br>
Commuter Benefits</b></div><div>
Take the stress out of commuting with access to fully-paid parking spots.</div><div></div><div><b><br>
Referral Bonus</b></div><div>
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.</div><div></div><div><b><br>
401k</b></div><div>
Contribute towards a 401k for retirement planning.</div><div></div><div><b><br>
Equity</b></div><div>
Be an owner in Nimble through our equity program</div></div></div>

AI Robotics Research Engineer

<div>
 <p>
  <strong>
   <u>
    About Chalk
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a
  <u>
   $50 million Series A
  </u>
  , led by Felicis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you&rsquo;re an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We work in-person Monday through Friday in our SF office. We don&rsquo;t currently offer remote or hybrid positions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What you will do
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
  </li>
  <li>
   Write TypeScript (React), Python, Go
  </li>
  <li>
   Drive frontend architecture discussions and technical breakdowns.
  </li>
  <li>
   Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments
  </li>
  <li>
   Iterate rapidly to improve Chalk&rsquo;s platform in response to customer needs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What we&rsquo;re looking for
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2+ years experience of professional software engineering experience
  </li>
  <li>
   Working knowledge of computer science fundamentals. We&rsquo;re not looking for experience from drilling leet code &ndash; we need folks who are comfortable building and maintaining real applications
  </li>
  <li>
   You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack
  </li>
  <li>
   An eye for high-quality UX
  </li>
  <li>
   Track record of learning new concepts quickly
  </li>
  <li>
   Ability to work autonomously &amp; to make pragmatic tradeoffs with an eye towards business outcomes
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Bonus points
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience implementing data infrastructure
  </li>
  <li>
   Experience working with developer tools
  </li>
  <li>
   Experience with applied machine learning or data analytics
  </li>
  <li>
   Experience with Go
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚕️Comprehensive medical, dental, and vision insurance
 </p>
 <p>
  🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)
 </p>
 <p>
  🦮 Expert Healthcare Guidance
 </p>
 <p>
  💵 Retirement savings
 </p>
 <p>
  🎄15 company holidays each year
 </p>
 <p>
  🏖️15 days of personal time off each year
 </p>
 <p>
  🚌 Flex Commuter Benefits
 </p>
 <p>
  🌮 Daily lunch and dinner on Chalk
 </p>
 <p>
  🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 </p>
 <p>
  🍽️ Staying late? Dinner is on us
 </p>
 <p>
  🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Compensation
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk&rsquo;s growth and us achieving our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Inclusivity
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 </p>
</div>


Frontend Software Engineer

Explore 95+ Machine learning engineer in San Francisco this October. Find roles across top companies and apply now to boost your career.