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software engineer i / ii - san francisco

staff software engineer

Uber

<div>About the Role
 
 
As a Staff Mobile Engineer on the Autonomous Mobility &amp; Delivery (AM&amp;D) team, you will define and drive the technical strategy behind Uber's next-generation rider, eater, and merchant experiences in an autonomous world. Our mission is to enable safe, informative, and magical customer experiences without human driver interaction, while scaling AV commercialization globally.
 
 
This is an organization-level technical leadership role. You will operate across iOS and Android surfaces, shaping mobile architecture, influencing multi-team execution, and ensuring that our mobile platforms can support evolving autonomous and marketplace dynamics. You will partner deeply with backend, marketplace, AV integration, product, design, operations, and external partners to deliver cohesive, end-to-end experiences.
 
 
Beyond shipping features, you will anticipate long-term architectural needs, identify systemic gaps, and design durable solutions that increase developer velocity, reduce technical debt, and improve reliability across teams. You will lead complex, multi-quarter initiatives from inception through production, ensuring strong execution discipline and operational excellence.
 
 
This role is ideal for a mobile technical leader who thrives in high-ambiguity, zero-to-one environments and wants to shape both product direction and engineering standards at scale.
 
 
What You Will Do
 
<ul><li>Define and drive the long-term mobile technical strategy across iOS and Android for Autonomous Mobility &amp; Delivery experiences
</li><li>Lead large, cross-team initiatives from ideation through design, implementation, launch, and operational ownership
</li><li>Architect scalable, modular, and maintainable mobile systems that support evolving autonomous and marketplace use cases
</li><li>Anticipate future product and architectural needs, proactively addressing scalability, performance, and reliability challenges
</li><li>Establish and promote mobile engineering best practices across architecture, testing, release processes, observability, and incident management
</li><li>Partner closely with product, design, backend, marketplace, and operations teams to deliver cohesive, end-to-end customer experiences
</li><li>Drive metrics-based execution, ensuring features are instrumented, measurable, and aligned with core business KPIs
</li><li>Improve engineering velocity and quality by reducing technical debt and strengthening development workflows
</li><li>Mentor senior engineers, elevate technical decision-making across teams, and raise the hiring bar through high-quality interviewing and feedback
</li></ul>- Basic Qualifications -
 
<ul><li>5+ years of professional software engineering experience
</li><li>5+ years of hands-on mobile development experience in iOS and/or Android
</li><li>Proven track record leading cross-team, multi-quarter technical initiatives from concept through production
</li><li>Demonstrated experience defining and evolving mobile architecture in large-scale, consumer-facing applications
</li><li>Strong expertise in modern mobile architecture patterns, modularization strategies, state management, and performance optimization
</li><li>Experience driving metrics-based product development with strong reliability and quality guardrails
</li><li>Experience improving engineering standards across teams, including code quality, testing strategy, release processes, and operational excellence
</li><li>Strong cross-functional collaboration skills, with experience partnering with product, design, backend, and operations stakeholders
</li></ul>- Preferred Qualifications -
 
<ul><li>Experience building and scaling large consumer mobile platforms in transportation, mobility, logistics, or other real-time systems
</li><li>Experience leading cross-platform architectural alignment across iOS and Android teams
</li><li>Deep experience with experimentation frameworks, funnel optimization, and data-informed product iteration
</li><li>Experience modernizing legacy mobile codebases while maintaining high product velocity
</li><li>Experience designing mobile systems that integrate tightly with complex backend and marketplace platforms
</li><li>Background working in fast-changing, zero-to-one product environments
</li><li>Experience mentoring senior engineers and developing future technical leaders
</li>Experience contributing to executive-level technical strategy discussions and org-wide engineering planning 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Software Engineer - iOS

Okta

<div>Get to know Okta 
 
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We&rsquo;re building a world where Identity belongs to you.
<h3 class="jobSectionHeader">About the Team</h3>

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:
<ul><li>
Streaming analytics</li>
<li>Interactive end-user reporting</li>
<li>Data and ML platform for Okta to scale</li>
<li>Telemetry of our products and data</li>
</ul>
Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.
<h3 class="jobSectionHeader">
About the Position</h3>

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services &amp; data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design &amp; implementation of the solutions to these problems.
<h3 class="jobSectionHeader">
Job Duties and Responsibilities:</h3>
<ul><li>Design, implement and own data-intensive, high-performance, scalable platform components</li>
<li>Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation</li>
<li>Conduct and participate in design reviews, code reviews, analysis, and performance tuning</li>
<li>Coach and mentor engineers to help scale up the engineering organization</li>
<li>Debug production issues across services and multiple levels of the stack</li>
</ul><h3 class="jobSectionHeader">Required Knowledge, Skills, and Abilities:</h3>
<ul><li>8+ years of experience in object-oriented language, preferably Java</li>
<li>Hands-on experience using a cloud-based distributed computing technologies including</li>
<li><ul><li>Messaging systems such as Kinesis, Kafka</li>
<li>Data processing systems like Flink, Spark, Beam</li>
<li>Storage &amp; Compute systems such as Snowflake, Hadoop</li>
<li>Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos</li>
</ul></li></ul><ul><li>Experience in developing and tuning highly scalable distributed systems</li>
<li>Excellent grasp of software engineering principles</li>
<li>Solid understanding of multithreading, garbage collection and memory management</li>
<li>Experience with reliability engineering specifically in areas such as data quality, data observability and incident management</li>
</ul><h3 class="jobSectionHeader">Nice to have</h3>
<ul><li>Maintained security, encryption, identity management, or authentication infrastructure</li>
<li>Leveraged major public cloud providers to build mission-critical, high volume services</li>
<li>Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.</li>
<li>Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop</li>
<li>Experience developing Kubernetes based services on AWS Stack</li>
</ul>
Additional requirements:
<ul><li>
This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.</li>
</ul>
This role will require travel to one of our office locations for in-person onboarding.

#LI-SM1

#LI-Hybrid

P6808_3376756 
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$267,000 USD
What you can look forward to as a Full-Time Okta employee!
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Staff Software Engineer, Data Platform

<div><div>Get to know Okta 
 
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We're building a world where Identity belongs to you.</div><div>
<div>
<h3 class="jobSectionHeader">About the Team</h3>

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:
<ul>
<li>Streaming analytics</li>
<li>Interactive end-user reporting</li>
<li>Data and ML platform for Okta to scale</li>
<li>Telemetry of our products and data</li>
</ul>
Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.
<h3 class="jobSectionHeader">
About the Position</h3>

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services &amp; data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design &amp; implementation of the solutions to these problems.
<h3 class="jobSectionHeader">
Job Duties and Responsibilities:</h3>
<ul><li>Design, implement and own data-intensive, high-performance, scalable platform components</li>
<li>Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation</li>
<li>Conduct and participate in design reviews, code reviews, analysis, and performance tuning</li>
<li>Coach and mentor engineers to help scale up the engineering organization</li>
<li>Debug production issues across services and multiple levels of the stack</li>
</ul><h3 class="jobSectionHeader">Required Knowledge, Skills, and Abilities:</h3>
<ul><li>8+ years of experience in object-oriented language, preferably Java</li>
<li>Hands-on experience using a cloud-based distributed computing technologies including</li>
<li><ul><li>Messaging systems such as Kinesis, Kafka</li>
<li>Data processing systems like Flink, Spark, Beam</li>
<li>Storage &amp; Compute systems such as Snowflake, Hadoop</li>
<li>Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos</li>
</ul></li></ul><ul><li>Experience in developing and tuning highly scalable distributed systems</li>
<li>Excellent grasp of software engineering principles</li>
<li>Solid understanding of multithreading, garbage collection and memory management</li>
<li>Experience with reliability engineering specifically in areas such as data quality, data observability and incident management</li>
</ul><h3 class="jobSectionHeader">Nice to have</h3>
<ul><li>Maintained security, encryption, identity management, or authentication infrastructure</li>
<li>Leveraged major public cloud providers to build mission-critical, high volume services</li>
<li>Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.</li>
<li>Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop</li>
<li>Experience developing Kubernetes based services on AWS Stack</li>
</ul>
Additional requirements:
<ul>
<li>This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.</li>
</ul>
This role will require travel to one of our office locations for in-person onboarding.

#LI-SM1

#LI-Hybrid

P6808_3376756</div></div><div> 
What you can look forward to as a Full-Time Okta employee!
<ul>
<li>Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice. 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div></div>

Staff Software Engineer, Data Platform (FedRamp)

TwelveLabs

<div>
 
 Who We Are
 
 
 
 At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
 
 
 With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA&rsquo;s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
 
 
 We are a global company that values the uniqueness of each person&rsquo;s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
 
 
 
 About The Role
 
 
 
 As a Senior Backend Software Engineer at TwelveLabs, you&rsquo;ll build the server-side infrastructure powering our new agentic application layer. You'll join a small, high-impact team and own the critical transition from prototype to production-ready platform.
 
 
 
 Up to 25% travel to Los Angeles is expected.
 
 
 
 Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
 
 
 
 In this role, you will
 
 
 
 Backend
 
 
 <ul>
 <li>
 Design and build backend services for video processing workflows &mdash; ingestion, transcoding, 4K export, metadata extraction, and timeline operations
 </li>
 <li>
 Architect scalable, high-availability systems to support enterprise-grade video workloads across cloud-native infrastructure (AWS, GCP)
 </li>
 <li>
 Build and optimize APIs that power real-time and async frontend workflows, including streaming data delivery and long-running job orchestration
 </li>
 <li>
 Own performance and reliability for distributed video processing pipelines with low latency and high throughput requirements
 </li>
 <li>
 Collaborate closely with frontend engineers on API design, data models, and streaming strategies
 
 
 </li>
 </ul>
 ML Integration
 
 
 <ul>
 <li>
 Integrate and run inference on computer vision models for tasks like video resizing, scene detection, automatic audio noise cleaning, and visual analysis
 </li>
 <li>
 Deploy and serve ML models on cloud-based or cloud-native platforms &mdash; evaluate build-vs-buy for model serving and SaaS alternatives
 </li>
 <li>
 Work with the research team to productionize model outputs into reliable, scalable backend services
 </li>
 <li>
 Build pipelines that bridge TwelveLabs&rsquo; foundation models with third-party CV models to power intelligent video workflows
 
 
 </li>
 </ul>
 
 You may be a good fit if you have
 
 
 
 <ul>
 <li>
 10+ years building production backend systems with a track record of designing scalable web services and APIs
 </li>
 <li>
 Experience with video-specific tools and frameworks (FFmpeg, AWS Media Services, transcoding pipelines)
 </li>
 <li>
 Deep experience with service-oriented architecture, microservices, and distributed systems
 </li>
 <li>
 Strong proficiency in Python for backend services, model integration, and tooling
 </li>
 <li>
 Hands-on experience running inference on ML/CV models in production &mdash; not research, but engineering models into reliable services
 </li>
 <li>
 Cloud-native development experience (AWS or GCP), including containerization (Docker, Kubernetes) and serverless patterns
 </li>
 <li>
 Comfort working across the stack and making pragmatic tradeoffs in a fast-moving product environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced API design skills (RESTful, streaming, async patterns)
 </li>
 <li>
 Familiarity with model serving platforms (TorchServe, Triton, SageMaker endpoints, or similar)
 </li>
 <li>
 Experience with MLOps practices &mdash; model deployment, monitoring, versioning
 </li>
 <li>
 Background in media, entertainment, or video streaming platforms
 </li>
 <li>
 Exposure to CI/CD pipelines and observability tools (Prometheus, Grafana) for production systems
 </li>
 <li>
 Experience with AI-powered product features or agentic application architectures
 
 
 </li>
 </ul>
 
 Benefits And Perks
 
 
 
 🤝 An open and inclusive culture and work environment.
 
 
 🚀 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
 
 
 🏥 Full health, dental, and vision benefits
 
 
 ✈️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
 
 
 🛂 VISA support where applicable
 
 
 Compensation Range: $175K - $230K
 
 
</div>

Staff Backend Software Engineer, Rodeo

Stripe

<div>
 
 About Bridge
 
 
 
 We&rsquo;re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
 
 
 We have a small team of people who have previously built financial infrastructure at some of the world&rsquo;s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
 
 
 
 About The Role
 
 
 
 As an early member of the Bridge engineering team, you will be given the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago and that's because our team is dedicated to constant improvement for our partners and end users. Our Engineers have outsized ownership over projects so if you are looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ship software to build out our suite of API products. We&rsquo;re an engineering and API-first company, and you will learn first-hand and contribute towards building highly reliable, performant, and mission critical infrastructure serving thousands of developers across the globe.
 </li>
 <li>
 Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal/Compliance and externally with our partners and developers.
 </li>
 <li>
 Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users.
 </li>
 <li>
 Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.
 </li>
 <li>
 Improve engineering standards, tooling and processes for the team and our broader org.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We are open to hiring engineers at various levels of seniority (SWE through Senior Staff) but at a minimum we are looking for somebody with 5+ years of experience.
 </li>
 <li>
 Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express or equivalent is a bonus.
 </li>
 <li>
 An enlarged sense of ownership and the ability to lead and influence the design and direction of our products.
 </li>
 <li>
 An ability to thrive in a fast paced environment.
 </li>
 <li>
 A growth mindset and a constant curiosity and fearlessness to dive into the unknown.
 </li>
 <li>
 An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast.
 </li>
 <li>
 Excellent written and verbal communication skills, including the ability to write clear technical documentation.
 </li>
 <li>
 Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space.
 </li>
 <li>
 Experience with building API products a plus, but not required.
 </li>
 <li>
 Experience working with blockchain or distributed systems a big plus
 
 
 
 </li>
 </ul>
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.
 
 
 Pay and benefits
 
 
 The annual US base salary range for this role is $173,000 - $259,600. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 
 
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
 
 
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.
</div>

Software Engineer, Bridge

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ 
 
About Us: 
 
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. 
 
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. 
 
About the Role 
 
As a software engineer on Twitch&rsquo;s Safety ML team, you will leverage machine learning to develop the systems that keep the everyday Twitch user safe from abuse such as harassment, spam, and illegal content. You will collaborate with a passionate team of scientists and engineers to build the systems necessary to train, evaluate, and productionize our various models. You will build the tools and systems necessary to integrate these models into various parts of the Twitch experience to protect our users from harm. 
 
Our team is based in San Francisco, CA. 
 
You Will 
 
<ul><li>Design, build, and deploy reliable and performant services to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content</li><li>Collaborate with Community Health&rsquo;s science and product management team to productionize and scale models into ML-based services to be used across Twitch.</li><li>Design and build performant and reliable systems that handle multiple types of data, such as user behavior, metadata, and user generated content at scale for model development</li><li>Deliver high-quality code, tests, and documentation</li><li>Mentor other engineers on best practices within the ML space</li></ul> 
Perks 
<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">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Twitch 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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, SAN FRANCISCO - 165,200.00 - 223,600.00 USD annually 
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually</div>

Software Engineer, Safety ML

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