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MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

AI Software Engineer and Talent Acquisition Lead

Java Software Engineer

Lead Software Engineer

Together AI

<div>
 
 About The Role
 
 
 
 Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.
 </li>
 <li>
 Develop and optimize runtime inference services for large-scale AI applications.
 </li>
 <li>
 Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
 </li>
 <li>
 Conduct design and code reviews to ensure high standards of quality.
 </li>
 <li>
 Create services, tools, and developer documentation to support the inference engine.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience writing high-performance, well-tested, production-quality code.
 </li>
 <li>
 Proficiency with Python and PyTorch.
 </li>
 <li>
 Demonstrated experience in building high performance libraries and tooling.
 </li>
 <li>
 Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.
 </li>
 <li>
 Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum
 </li>
 <li>
 Preferred: Knowledge of AI inference techniques such as speculative decoding.
 </li>
 <li>
 Preferred: Knowledge of CUDA/Triton programming.
 </li>
 <li>
 Nice to have: Knowledge of Rust, Cython and compilers.
 
 
 </li>
 </ul>
 
 About Together AI
 
 
 
 Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society. Together, we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI. Our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey to build the next-generation AI infrastructure.
 
 
 
 Compensation
 
 
 
 We offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
 
 
 
 Equal Opportunity
 
 
 
 Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
 
 
 Please see our privacy policy at https://www.together.ai/privacy
</div>

Machine Learning Engineer - Inference

<div>
 
 About Zip
 
 
 
 Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (&gt;30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.
 
 
 Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world&rsquo;s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend.
 
 
 We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we&rsquo;re focused on developing cutting-edge technology, expanding into new global markets, and&mdash;above all&ndash;driving incredible value for our customers. Join us!
 
 
 
 Your Role
 
 
 
 As a Software Engineer on ZipX, Zip's AI team, you will help define what it means to build AI-native product experiences in enterprise procurement. ZipX spans the full stack of AI at Zip &mdash; from the foundational infrastructure that powers every AI feature across the platform, to intelligent agents that automate complex procurement workflows, to contract orchestration tools that replace hours of manual legal work with structured, AI-driven review.
 
 
 You will ship high-impact features used by enterprise customers from day 1 &mdash; working in small, high-ownership pods where engineers are expected to take complex AI concepts from prototype to production at pace. We sit at the intersection of next-generation AI capabilities and tangible customer value &mdash; bridging cutting-edge techniques with the reliability and intuitiveness that enterprise users demand. Whether you're building agentic systems, scaling AI infrastructure, or embedding intelligent workflows into Zip's core product, you'll do it with a bias for action, a tight-knit cross-functional team behind you, and the opportunity to set the standard for what AI-first procurement looks like.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Design and build highly reliable, production-grade AI products and features &mdash; spanning agentic workflows, LLM-powered automation, and intelligent document processing.
 </li>
 <li>
 Translate complex AI concepts into intuitive, customer-facing experiences that eliminate manual work and drive smarter procurement decisions.
 </li>
 <li>
 Own features end-to-end: from scoping and architecture through to shipping and iterating based on real customer feedback.
 </li>
 <li>
 Write high-quality, extensible, and maintainable code that serves as the foundation for Zip's AI-first product strategy.
 </li>
 <li>
 Build scalable APIs, backend services, and frontend components that bring AI capabilities seamlessly into Zip's core platform.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We are hiring software engineers across all levels. Most of our open roles are targeting individuals with at least 2 years experience if past work is highly relevant
 </li>
 <li>
 BS or higher, in Computer Science or related technical field involving coding (e.g. physics or math)
 </li>
 <li>
 Experience with web application and API development in production environments. At Zip, our stack includes Python, Javascript, React, and GraphQL.
 </li>
 <li>
 Experience with industry-standard build, test, and deploy tools. At Zip, our stack includes Kubernetes, Spinnaker, Jenkins, Kibana, Prometheus, and Grafana.
 </li>
 <li>
 Ability and interest to quickly learn new frameworks, architecture patterns, and programming languages as needed
 </li>
 <li>
 Experience working at a small company with diverse responsibilities is a bonus, but not required.
 </li>
 <li>
 Experience working with API connections with external systems like Jira, ServiceNow, Slack, etc is a bonus, but not required.
 </li>
 <li>
 Exposure to AI-driven automation or interest in working with AI/ML teams to build intelligent workflows.
 
 
 
 </li>
 </ul>
 The salary range for this role is $160,000 - $240,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
 
 
 
 Perks &amp; Benefits
 
 
 
 At Zip, we&rsquo;re committed to providing our employees with everything they need to do their best work.
 
 
 <ul>
 <li>
 📈 Start-up equity
 </li>
 <li>
 🦷 100% health, vision &amp; dental coverage options
 </li>
 <li>
 🍽️ Catered breakfast, lunch, &amp; dinner
 </li>
 <li>
 🌴 Flexible PTO
 </li>
 <li>
 🏋️&zwj;&female;️ ClassPass membership
 </li>
 <li>
 🚍 Monthly commuter benefit
 </li>
 <li>
 🚠 Team building events &amp; happy hours
 </li>
 <li>
 💻 Home office stipend
 </li>
 <li>
 🛜 Phone/internet reimbursement
 </li>
 <li>
 🍼 Paid parental leave
 </li>
 <li>
 🧑&zwj;🧑&zwj;🧒&zwj;🧒 Fertility stipend
 </li>
 <li>
 💸 401k plan
 </li>
 <li>
 🤖 Unlimited AI token usage
 
 
 
 </li>
 </ul>
 
 We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
 
</div>

Software Engineer, AI team (all levels)

Charles Schwab

<div><h2 class="jobSectionHeader">Your opportunity</h2><div> 
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div> 
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div> 
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div> 
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader">
What you have</h2><div> 
Required Qualifications</div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div>
Preferred Qualifications</div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"> 
What&rsquo;s in it for you</h2>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

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

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