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ai engineer vlm vla

Foundation Robotics Labs Inc.

<div>About Us 
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. 
Our Culture
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture. 
Who should join:<ul><li>
You like working in person with a team in San Francisco.</li><li>
You deeply believe that this is the most important mission for humanity and needs to happen yesterday.</li><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
Why Are We Hiring for this Role<ul><li>
Develop and optimize vision-language-action models, including transformers, diffusion models, and multimodal encoders/decoders.</li><li>
Build representations for 2D/3D perception, affordances, scene understanding, and spatial reasoning.</li><li>
Integrate LLM-based reasoning with action planning and control policies.</li><li>
Design datasets for multimodal learning: video-action trajectories, instruction following, teleoperation data, and synthetic data.</li></ul><ul><li>
Interface VLAM outputs with real-time robot control stacks (navigation, manipulation, locomotion).</li><li>
Implement grounding layers that convert natural language instructions into symbolic, geometric, or skill-level action plans.</li><li>
Deploy models on on-board or edge compute platforms, optimizing for latency, safety, and reliability.</li></ul><ul><li>
Build scalable pipelines for ingesting, labeling, and generating multimodal training data.</li><li>
Create simulation-to-real (Sim2Real) training workflows using synthetic environments and teleoperated demonstration data.</li><li>
Optimize training pipelines, model parallelism, and evaluation frameworks.</li></ul><ul><li>
Work closely with robotics, hardware, controls, and safety teams to ensure model outputs are executable, safe, and predictable.</li><li>
Collaborate with product teams to define robot capabilities and user-facing behaviors.</li><li>
Participate in user and field testing to iterate on real-world performance.</li></ul><h1 class="jobSectionHeader">
What Kind of Person are we looking For</h1><ul><li>
Strong experience with training multimodal models, including VLAs, VLMs, vision transformers, LLMs.</li><li>
Ability to build and iterate on large-scale training pipelines.</li><li>
Deep proficiency in PyTorch or JAX, distributed training, and GPU acceleration.</li><li>
Strong software engineering skills in Python and modern ML tooling.</li></ul><ul><li>
Experience with (synthetic) dataset creation and curation.</li><li>
Understanding of real-time deployment constraints on embedded hardware.</li><li>
Optimally, familiarity with robotics simulation environments (Isaac Lab, Mujoco, or similar).</li><li>
Ideally, hands-on experience with robotics, embodied AI, or reinforcement/imitation learning.</li><li>
MSc or PhD in Computer Science, Robotics, Machine Learning, or related field&mdash;or equivalent industry experience.</li></ul> 
Benefits
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. 
Salary
The annual compensation is expected to be between $150,000 - $300,000. Exact compensation may vary based on skills, experience, and location.</div>

AI Engineer (VLM & VLA)

ImagineArt

<div><h1 class="jobSectionHeader">Principal AI Engineer (LLM Agents &amp; Orchestration)</h1> 
Role Title: Principal AI Engineer (LLM Agents &amp; Orchestration)
 
Focus: Building Autonomous &quot;Super Agents&quot;<h2 class="jobSectionHeader">
Who We Are</h2>
ImagineArt is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, with 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At ImagineArt, we&rsquo;re a team of innovators, builders, and dreamers driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.<h3 class="jobSectionHeader">
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, ImagineArt is the place to be.</h3><h3 class="jobSectionHeader">
About the Role</h3>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</li><li>
Integration Ecosystem: Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</li><li>
Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</li><li>
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</li><li>
Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</li><li>
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.</li><li>
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</li><li>
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</li></ul>
Why Join Us?<ul><li>
Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.</li><li>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Competitive compensation and benefits.</li><li>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

Principal AI Engineer (LLM Agents & Orchestration)

Mento

<div><h3 class="jobSectionHeader">About Mento</h3>

Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.
<h3 class="jobSectionHeader">
About The Role</h3>

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product development&mdash;understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>

Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards.

Build data systems that power product features. You'll create data pipelines that feed back into the product&mdash;user progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it.

Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data stack&mdash;choosing and implementing tools for orchestration, transformation, warehousing, and analytics. You'll build foundations that can scale with the company.

Process and analyze AI/LLM outputs. You'll work with data from our AI coaching systems, building pipelines to analyze LLM responses, track coaching quality, and generate insights about how users interact with AI coaches.

Support business operations and analytics. You'll build data systems that track customer success metrics, billing data, user engagement, and operational KPIs. Your work will directly inform business decisions and product strategy.

Create accessible analytics infrastructure. You'll build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools. You'll think about data quality, documentation, and usability.

Work closely with product on instrumentation and data collection. You'll collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data. You'll be involved in product discussions and understand feature requirements from a data perspective.
<h3 class="jobSectionHeader">
Who We're Looking For</h3>

We're looking for a data engineer with mid to senior-level experience who can work independently, make architectural decisions, and build data systems from the ground up. 

You have strong data engineering fundamentals. You're experienced with SQL, Python, and building data pipelines. You understand data modeling, ETL/ELT patterns, and how to design scalable data architectures. You've worked with databases like PostgreSQL and have opinions on data infrastructure tools.

Bonus: You're comfortable with Go. Our backend stack is Ruby and Go, with new development preferentially in Go. While we are happy to use Python as the primary language for data work, comfort with Go is a plus for building production data services and working closely with the backend team.

You can drive technical decisions about data infrastructure. You've evaluated and implemented data tools before&mdash;whether orchestration frameworks, warehouses, transformation tools, or BI platforms. You can assess our needs and recommend the right stack for an early-stage company.

You're comfortable working with diverse data sources. You'll work with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs. You can navigate different data formats and build reliable integrations.

You're comfortable working closely with product teams. You've worked embedded with product and engineering, participated in product discussions, and built data systems that directly power product features. You understand the difference between building for analysis versus building for production product use.

You can build both analytical and operational data pipelines. You've built pipelines for analytics and business intelligence, but you've also built systems that feed data back into products in real-time or near-real-time. You understand the different requirements and tradeoffs.

You have some experience with AI/ML data. You've worked with LLM outputs, unstructured data, or analytics for AI-powered products. You understand the unique challenges of working with AI-generated content and can design appropriate data models.

You work well independently in an early-stage environment. You're comfortable with ambiguity and can prioritize work without extensive direction. You can balance building for immediate needs while creating foundations for future scale.
<h3 class="jobSectionHeader">
Why Work with Us?</h3>

We are a company dedicated to empowering professionals to live meaningful careers. That starts with our culture at Mento.

You're excited about building data infrastructure that serves multiple purposes&mdash;analytics, business intelligence, and powering product features. You want to work closely with product teams and see your data systems directly impact user experience.

We work hard to foster a workplace built around trust, respect, and collaboration. As a remote-first company, we believe in flexibility and autonomy&mdash;as long as you're delivering great work and staying connected with your teammates, you can work from anywhere.

This is an opportunity to join an early-stage, mission-driven team as the founding data engineer. You'll have significant ownership over our data architecture and direct impact on both product and business strategy.

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. If you're passionate about building data systems that help people thrive at work, we want to hear from you. 


Other benefits and perks include:

✈️ Fully Remote - ability to work from anywhere with bi-annual team offsites

 Competitive salary and equity

 Medical, dental, vision, and a 401k plan

 Unlimited vacation (We actually mean this! it's important to keep yourself fresh)

 $500 home office stipend

 Access to your own Mento Coach</div>

Data Engineer

Glocomms

<div>
 
 
 Software Engineer, Data &amp; Machine Learning
 
 
 
 
 Location:
 
 Remote, United States
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Compensation:
 
 Starting at $110K
 
 
 
 
 
 We're looking for a Software Engineer, Data &amp; Machine Learning to join a growing engineering team focused on building intelligent, production-grade systems. This role is ideal for an engineer with hands-on experience applying machine learning and deep learning techniques to real-world problems, particularly in areas like computer vision and modern AI models.
 
 
 You'll work closely with other engineers and machine learning practitioners to design, train, and deploy models that operate at scale. This is a hands-on role with meaningful ownership over model development, experimentation, and integration into production systems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize machine learning models for tasks such as image classification, object detection, or related vision problems
 </li>
 <li>
 Experiment with modern deep learning architectures, including convolutional models and transformer-based approaches
 </li>
 <li>
 Contribute to end-to-end ML workflows, from data preparation and training through evaluation and deployment
 </li>
 <li>
 Analyze large, complex datasets to improve model performance and reliability
 </li>
 <li>
 Write clean, well-documented, production-quality code and contribute to shared ML tooling and infrastructure
 </li>
 <li>
 Partner with cross-functional engineering teams to integrate models into live systems
 </li>
 <li>
 Stay current with emerging techniques in machine learning and applied AI
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 2-5 years of experience in Software Engineering, Machine Learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
 </li>
 <li>
 Hands-on experience with deep learning models, particularly in computer vision
 </li>
 <li>
 Solid understanding of supervised learning, model evaluation, and core ML concepts
 </li>
 <li>
 Experience with version control and modern development workflows
 </li>
 <li>
 Ability to work effectively in a collaborative, remote-friendly environment
 </li>
 <li>
 Strong problem-solving skills and a curiosity-driven mindset
 </li>
 <li>
 
 Permanent work authorization in the United States is required
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to transformer-based models or multimodal systems (e.g., vision + language)
 </li>
 <li>
 Familiarity with cloud platforms and containerized environments
 </li>
 <li>
 Experience supporting or deploying models in production
 </li>
 <li>
 Background working with experimentation, model tracking, or reproducible ML pipelines
 </li>
 <li>
 Interest in applying ML techniques to high-impact, real-world use cases
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 <ul>
 <li>
 Base salary starting at $110K
 </li>
 <li>
 Equity participation
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Fully remote role within the United States
 </li>
 <li>
 Emphasis on ownership, technical growth, and modern engineering practices
 </li>
 </ul>
 
 
 
 
 Location Notes
 
 
 This role is fully remote, but candidates must be based in San Francisco, New York City area, Seattle, Miami, or Austin, TX. The company is building teams in selective talent hubs to maintain convenient access to in-person collaboration when needed and to reduce exposure to future return-to-office mandates.
 
 
 
 
 
 At this time, the employer is unable to provide visa sponsorship or support visa transfers. Candidates must already have permanent work authorization in place.
 
</div>

Data Scientist, Computer Vision

OpenAI

<div>
 
 About The Team
 
 
 
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 
 
 
 About The Role
 
 
 
 We are looking for a software engineer to own the design of our APIs. Our API
 
 is
 
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
 </li>
 <li>
 Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
 </li>
 <li>
 Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
 </li>
 <li>
 Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
 </li>
 <li>
 Love building for other developers, and thrive on feedback from opinionated users
 </li>
 <li>
 Are an engineer at heart, but are willing to lean into product decisions.
 </li>
 <li>
 Think of APIs as ladders.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Software Engineer, API Engineer

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Overview Of Role
 
 
 
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
 </li>
 <li>
 Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
 </li>
 <li>
 Collect, clean, and analyze large-scale datasets to improve model performance and reliability
 </li>
 <li>
 Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
 </li>
 <li>
 Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
 </li>
 <li>
 Maintain and monitor deployed models in cloud-based production environments
 </li>
 <li>
 Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
 </li>
 <li>
 Communicate technical concepts clearly across technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
 </li>
 <li>
 Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
 </li>
 <li>
 Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
 </li>
 <li>
 Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and feature engineering
 </li>
 <li>
 Awareness of recent developments in generative AI, diffusion models, and LLMs
 </li>
 <li>
 Familiarity with cloud platforms and deploying AI models in cloud-based environments
 </li>
 <li>
 Excellent problem-solving and analytical thinking skills with close attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a fast-paced and collaborative environment.
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Applied AI Engineer

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

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