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ai engineer

Imprint

<div><h2 class="jobSectionHeader">Who We Are</h2>
Imprint is reimagining co-branded credit cards &amp; financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate &amp; Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products&mdash;without becoming a bank.
Co-branded cards account for over $300 billion in U.S. annual spend&mdash;but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today&rsquo;s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we&rsquo;re building a world-class team to redefine how people pay&mdash;and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we&rsquo;d love to meet you.
We&rsquo;re looking for a creative, technical self-starter to build the platform that runs agents at Imprint. You&rsquo;ll develop Imprint&rsquo;s agent platform and iterate on taking those agents from toys to critical capabilities.
As a Senior AI Engineer, you will accelerate AI adoption across every function at Imprint. You will design and deploy AI automation agents, build intelligent solutions, and drive an AI-native culture company-wide. This role blends technical execution with cross-functional enablement. You'll build agents, evangelize their use, and measure their impact.
You&rsquo;ll work end-to-end, partnering with organizations across Imprint to integrate with internal systems and ship valuable, secure agent-based interfaces. You&rsquo;ll be trusted to move fast, experiment ambitiously, and scale what works.
The ideal candidate is a self-starter who thrives in ambiguity, loves building, and understands how to balance pragmatism with technical vision. You should be comfortable stitching together APIs one day and wrangling embeddings or RAG pipelines the next. This work will require a mix of customer-centric product development, hands-on experience with modern AI frameworks, software engineering fundamentals, and a passion for automation. If you're excited by the opportunity to create leverage across every corner of a growing company, we'd love to meet you.
What You'll Do
Platform &amp; Agent Development<ul><li>
Design Imprint's internal agent platform from the ground up</li><li>
Create 100+ specialized AI agents automating workflows across engineering, operations, customer success, finance, and business development</li></ul>
Cross-Functional integration<ul><li>
Build secure, scalable agent orchestration systems integrating with our existing tech stack</li><li>
Partner with teams across Imprint to identify high-impact automation opportunities</li><li>
Integrate AI with internal systems (CRMs, data warehouses, communication tools, proprietary platforms)</li><li>
Transform manual processes into intelligent, self-improving workflows</li><li>
Create intuitive interfaces, making advanced AI accessible to non-technical users</li></ul>
Technical Innovation<ul><li>
Rapidly prototype using cutting-edge AI frameworks and models</li><li>
Implement RAG pipelines, embedding systems, and multi-modal AI solutions</li><li>
Balance experimental innovation with production reliability and security</li></ul>
What We Look For<ul><li>
5-7 years of experience in a high-growth technical environment, or in roles requiring self-starting, entrepreneurial, or technical skills</li><li>
Strong proficiency in programming languages such as Go (our primary backend language), Java, Python, or similar languages</li><li>
Experience with AI/ML frameworks (OpenAI API, Claude API, Gemini)</li><li>
Comfortable building solutions through prompting and occasionally working with code or APIs</li><li>
Familiarity with AI tools like Claude Code, Cursor, Notion AI, and automation tools like Dust, Gumloop, n8n, or Zapier</li><li>
Deep understanding of LLMs, prompt engineering, and agent frameworks</li><li>
Experience with RAG architectures and model evaluation</li><li>
Knowledge of AI safety and security practices</li><li>
Customer-centric approach translating business needs into technical solutions</li><li>
Experience building internal tools and developer-facing products</li><li>
Strong API design and system integration skills</li></ul><h2 class="jobSectionHeader">
Perks &amp; Benefits</h2><ul><li>
Competitive compensation and equity packages</li><li>
Leading configured work computers of your choice</li><li>
Flexible paid time off</li><li>
Fully covered, high-quality healthcare, including fully covered dependent coverage</li><li>
Additional health coverage includes access to One Medical and the option to enroll in an FSA</li><li>
20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents</li><li>
Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity</li></ul>
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let&rsquo;s move the world forward, together.
Compensation Range: $170K - $220K</div>

Senior AI Engineer

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

Connect Staffing Professional

<div><div>Founding Machine Learning Engineer - On-site - San Francisco, CA</div><div>
Location: San Francisco, CA</div><div>
Schedule: In office, five days per week</div><div>
A well-funded seed-stage AI company is building advanced agentic systems that automate complex workflows inside real enterprise software. The team is developing multimodal, vision-language, and reinforcement learning models that operate in high-stakes environments, beginning with healthcare. This is a founding-level opportunity to shape the technical direction of a company working at the frontier of applied AI.</div><div>
The engineering team is small, highly technical, and composed of builders from top research institutions and high-bar technology companies. This role is ideal for someone who wants to work on ambitious problems, ship production systems, and contribute to a platform with national-level impact.</div><div>
﻿</div><div>
Role Overview</div><div>
The Founding Machine Learning Engineer will design, train, and deploy models that power real-world autonomous agents. This includes multimodal perception, model reliability, reinforcement learning, evaluation systems, and the infrastructure required to operate AI agents safely inside enterprise environments. The work is deeply applied and requires strong engineering discipline, creativity, and comfort with first-principles problem solving.</div><div>
﻿</div><div>
What You Will Work On</div><ul>
<li>Develop and train multimodal and vision-language models for real enterprise workflows.</li>
<li>Build reinforcement learning systems that improve grounding, reliability, and recovery.</li>
<li>Design evaluation frameworks, regression detection, and error analysis pipelines.</li>
<li>Create synthetic data systems and tooling to improve model performance.</li>
<li>Collaborate with engineering to deploy model-powered systems into production.</li>
<li>Invent new infrastructure for agentic workflows and model-driven automation.</li>
<li>Contribute to a high-ownership environment where ideas move quickly into shipped products.</li>
</ul><div>﻿</div><div>
Ideal Background</div><ul>
<li>Strong experience in applied machine learning or AI engineering.</li>
<li>Hands-on experience training models, fine-tuning, or working with reinforcement learning.</li>
<li>Proficiency in Python and the ability to write production-quality code.</li>
<li>Experience with multimodal systems, perception models, or LLM-powered products.</li>
<li>Ability to design evaluation systems, analyze failure modes, and iterate quickly.</li>
<li>Comfort working in ambiguous, high-ownership environments.</li>
<li>Strong CS fundamentals and engineering rigor.</li>
</ul><div>﻿</div><div>
Preferred Qualifications</div><ul>
<li>Experience in computer vision or vision-language modeling.</li>
<li>Research publications or notable ML projects.</li>
<li>Background from a high-bar engineering organization or top academic program.</li>
<li>Strong mathematical foundation or competitive math experience.</li>
<li>Interest in entrepreneurship or building toward a future founding role.</li>
</ul><div>﻿</div><div>
Who Will Thrive Here</div><ul>
<li>Engineers who enjoy building applied AI systems that ship to production.</li>
<li>Individuals who think from first principles and can invent new approaches.</li>
<li>Builders who value reliability, safety, and disciplined engineering.</li>
<li>People who want to work on complex, meaningful problems with immediate impact.</li>
<li>Those who want to join a small, fast-moving team at a pivotal stage of growth.</li>
</ul><div>﻿</div><div>
Compensation and Benefits</div><ul>
<li>$200,000 to $250,000 base.</li>
<li>Top candidates may be considered up to $275,000.</li>
<li>Competitive equity included.</li>
<li>Highly attractive equity package at the founding team level.</li>
<li>Comprehensive medical, dental, and vision benefits. 401(k) program.</li>
<li>Significant opportunity for career growth and technical leadership.</li></ul></div><div></div>

Founding Machine Learning Engineer - San Francisco, CA (onsite)

Adapt

<div>About Adapt
Adapt is on a mission to make any company instantly AI native. We&rsquo;re the universal intelligence layer teams use to connect their existing tools, knowledge, and skills to the best model for the job &mdash; think Claude Code, but for the whole organization, not just one engineer. Every person shows up on day one with the context, tools, and skills already wired up, and the answers get sharper the more the company adopts and integrates. In some sense, think of Adapt a bit like Claude Code for the organization and not just the individual where every single person in the company has full knowledge, tools, and skills set up day one that just work to deliver the best possible output quality and answers that seem over time and with increased adoption and integration increasingly like true intelligence. 
Customers like Wander, Revsend, Stamped, and Rosie tell us Adapt is a 10x force multiplier for the team they already have &mdash; not a replacement for it. Thousands more companies are next. 
About the role
We&rsquo;re hiring for an early engineer to join the small, but cracked, product engineering team at Adapt. We only hire product engineers which means that whether the customer problem requires frontend, backend, infra, or some combination thereof (almost always!) a product engineer is capable and curious enough to bring engineering fundamentals to solve the user&rsquo;s problem and build a remarkable product. 
We are particularly seeking an engineer who cares deeply about designing, building, and helping others build well-architected and scalable-by-design systems. We care about the craft (yes, we vibe a little too), and we want someone who can sharpen the architecture that got us here and help make the calls that take us further. 
About you
Years aren&rsquo;t all equal (startup years are like dog years, as an example) and they&rsquo;re not the best predictor of success. That being said, you probably exhibit most of these characteristics:<ul><li>
3-5+ years of professional engineering experience</li><li>
Experience working at an early stage (seed, Series A, Series B) startup</li><li>
Expertise in modern JavaScript and particularly full-stack TypeScript</li><li>
Expertise with at least one modern framework (React, Vue, etc.)</li><li>
Experience with one major cloud provider (AWS, GCP, Azure, etc.) and interest or familiarity with tooling like Kubernetes</li><li>
Strong interest in many of the latest and greatest AI tools and models</li><li>
Consistent track-record and demonstrated examples of high-quality systems and features that you&rsquo;ve built independently</li><li>
Ability to break down a complex and large problem into independently shippable solutions (you may have found yourself saying &ldquo;What&rsquo;s the simplest thing we can do to try to solve this problem?&rdquo; or &ldquo;What can we learn by doing something quickly?&rdquo;)</li><li>
Care deeply about users &mdash; you&rsquo;ve got receipts of customer-driven shipping decisions, and when something you built frustrates someone, you feel it</li><li>
A genuine desire to grow the craft of engineering and product-building (you could call it &ldquo;taste&rdquo;), with an eye for the little big details in both architecture and product</li></ul> 
How you&rsquo;ll be successful
As a Product Engineer at Adapt, you own features end-to-end &mdash; from the customer Slack thread, through architecture and shipping, all the way to the launch blog post (we call it &ldquo;ship and tell&rdquo;). Your job isn&rsquo;t done until customers love what you built. As we scale, you&rsquo;ll own whole pillars of the platform. Concretely, you&rsquo;re responsible for:<ul><li>
High-quality execution. This is the central responsibility of any engineer, you design, build, instrument, and confidently scale a system, capability, or feature that just works.</li><li>
Shipping frequently. You ship boulders (like features and capabilities), stones (smaller, quality of life improvements), and pebbles (quick fixes and bugs) regularly and consistently.</li><li>
Customer discovery. You will directly integrate alongside our early customers and the many ahead to understand their pain points of using Adapt and use those to understand and propose and build solutions to those problems.</li><li>
Strong internal and external communication. You will be responsible for writing our customer-centric blog posts and communicating directly with customers when new capabilities launch and how they can be used and understood.</li><li>
Set a high bar. Lead by example. Expect mentorship, but bring a strong default to figuring things out yourself &mdash; especially the pace of an early-stage startup in a crowded AI market.</li><li>
Collaboration. You&rsquo;ll work shoulder-to-shoulder with the team and leadership in San Francisco. We bias toward shipping, together.</li></ul>
You&rsquo;ll also work directly with leadership: your manager (me &mdash; here&rsquo;s why I joined Adapt), our CTO and co-founder Sean Smith, and the rest of the leadership team. 
How you may fail
Perhaps it&rsquo;s also helpful to evaluate a candidate who may not be successful at Adapt and apply inversion theory. You will not be successful if you:<ul><li>
Have not worked as a professional engineer in any capacity for any company</li><li>
Prefer working with a formalized product function or product manager</li><li>
View vibe coding sufficient for building a great product or think that code is a solved problem</li><li>
Don&rsquo;t review or understand the code that you (or your agent(s)) write and that others on the team write</li><li>
Find yourself regularly saying &ldquo;it&rsquo;s good enough&rdquo;</li><li>
Find yourself waiting for direction and clarity and don&rsquo;t enjoy making decisions independently</li><li>
Don&rsquo;t enjoy talking directly to customers</li></ul> 
What is excellence in this role
The role of leadership is to cultivate a sense of excellence on the team and in individuals on the team that reflect it. A simple way to frame it is a three-part framework:<ul><li>
What is the job to be done (see above: &ldquo;What you&rsquo;ll do&rdquo;)</li><li>
What is excellence in that job</li><li>
Holding accountable to excellence (that&rsquo;s both your job and mine!)</li></ul>
You establish excellence in this role by doing the following:<ul><li>
In the first 30 days you independently ship requested and impactful features with some guidance and direction</li><li>
In the next 30 days, you&rsquo;re moving more towards fuller independence, proposing ideas and talking to customers to gain conviction as to why they&rsquo;re worth investing in (and also shipping them)</li><li>
By 90 days, you&rsquo;re building your own ideas, directly closing the loop and establishing new loops with customers, and you&rsquo;re feeling like you&rsquo;re independent and cooking</li></ul>
After 90 days and beyond, any requisite training wheels are off and you&rsquo;re feeling empowered to own decisions, propose improvements, and you&rsquo;ve established a strong customer-centric understanding of the product we have and how it can be improved. 
Benefits<ul><li>
Competitive compensation strategy including large equity grants for early hires at an early stage in the company&rsquo;s journey</li><li>
Inclusive healthcare packages (medical, dental, vision)</li><li>
Top-tier equipment: latest Apple silicon (Mac Studio / MacBook Pro), 5K display, and any peripherals you need to do your best work</li><li>
Frontier AI access for every engineer and designer: Claude Code, OpenAI, Cursor, Codex, and most importantly unlimited internal use of Adapt itself</li><li>
Daily catered lunch in our Presidio (San Francisco) office, plus snacks and coffee</li><li>
A founder-dense, in-person team in one of the most beautiful corners of San Francisco &mdash; direct access to the CEO, CTO, and founding eng/design every day</li></ul>
Base salary: $200&ndash;300k for the SF Bay Area. Actual offer depends on skills, experience, and location. We&rsquo;re open to relocation for the right candidate but prefer Bay Area applicants today. Total comp also includes equity, benefits, and potential bonus or variable pay. Your recruiter will walk you through the details. 
Adapt is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Adapt encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.</div>

Product Engineer

Baselayer

<div>
 
 
 About Baselayer:
 
 
 
 Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer&rsquo;s B2B risk solutions &amp; identity graph network leverage state &amp; federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.&nbsp;
 
 
 &nbsp;
 
 
 
 About You:
 
 
 
 You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win&mdash;you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.
 
 <ul>
 <li>
 You have 4-8 years of experience in machine learning development, working with Python and building ML models
 </li>
 <li>
 You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems
 </li>
 <li>
 You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques
 </li>
 <li>
 You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB
 </li>
 <li>
 You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance
 </li>
 <li>
 You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction
 </li>
 <li>
 Problem-solver who navigates the unknown confidently
 </li>
 <li>
 Proactive self-starter who thrives in dynamic settings
 </li>
 <li>
 Incredibly intelligent and clever. You take pride in your models
 </li>
 <li>
 Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level
 </li>
 </ul>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Model Development &amp; Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space
 </li>
 <li>
 ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases
 </li>
 <li>
 Data Processing &amp; Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data
 </li>
 <li>
 Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space
 </li>
 <li>
 ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation
 </li>
 <li>
 Model Governance &amp; Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations
 </li>
 <li>
 Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability
 </li>
 <li>
 Experimentation &amp; Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Work Location
 
 
 <ul>
 <li>
 Hybrid in SF. In office 3 days/week
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 Compensation and Benefits
 
 
 <ul>
 <li>
 
 Salary range of $145,000 to $225,000
 
 </li>
 <li>
 
 Equity package
 
 </li>
 <li>
 
 Unlimited vacation
 
 </li>
 <li>
 
 Fully paid health insurance, dental, and vision
 
 </li>
 <li>
 
 401(k) with company match
 
 </li>
 </ul>
 
 &nbsp;
 
</div>

Machine Learning Engineer

Octave

<div><h3 class="jobSectionHeader">About the Company:</h3>

Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
<h3 class="jobSectionHeader">
Job Summary:</h3>

We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data.
<h3 class="jobSectionHeader">
Duties &amp; Responsibilities:</h3>
<ul><li>Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability.</li>
<li>Implement frameworks, tooling, and automation to safely increase development velocity.</li>
<li>Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards).</li>
<li>Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility).</li>
<li>Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.</li>
<li>Leverage AI tools as a core part of daily work (drafting, research, iteration) to improve efficiency, quality, and decision-making.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling.</li>
<li>Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.</li>
<li>Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).</li>
<li>Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.</li>
<li>A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.</li>
<li>Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done.</li>
<li>Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools is a plus.</li>
</ul><h3 class="jobSectionHeader">Education &amp; Experience:</h3>
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.</li>
<li>5+ years of experience in data engineering, platform engineering, or ML engineering.</li>
<li>Experience working with major cloud data platforms and tools:</li>
<li>Preferred experience:</li>
<li><ul><li>Healthcare, behavioral health, EHR systems, and/or regulated industries.</li>
<li>Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.</li>
</ul></li></ul><h3 class="jobSectionHeader">Octave's Company Values:</h3>

The below values drive our day-to-day operations.
<ul>
<li>We're human beings first. We operate with empathy and kindness &ndash; with our clients, with our collaborators, and with ourselves.</li>
<li>People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.</li>
<li>No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.</li>
<li>Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.</li>
<li>Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.</li>
<li>Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust &ndash; and always leave things better than we found them.</li>
<li>There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.</li>
</ul><h3 class="jobSectionHeader">Physical Requirements:</h3>
<ul><li>Prolonged periods sitting at a desk and working on a computer.</li>
<li>Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.</li>
<li>Must be able to observe and communicate information on company provided laptop.</li>
<li>Move up to 10 pounds on occasion.</li>
<li>Must be eligible to work in the United States without sponsorship now or in the future.</li>
</ul><h3 class="jobSectionHeader">Compensation, Equity &amp; Incentives:</h3>

Base Salary Range Octave is committed to pay equity and transparency. Our salary ranges are determined by role, level, and location/ zone. Final pay within the posted range will be decided based on a combination of job-related factors, including education, training, experience, and market demands.
<ul>
<li>Geo 1 (All other states &amp; D.C.): $142,600 - $153,100</li>
<li>Geo 2 (CO, HI, MD, RI): $156,900 - $168,400</li>
<li>Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $164,000 - $176,000</li>
</ul>
Variable Compensation &amp; Equity
<ul>
<li>Performance Bonus: This role is not currently eligible for bonus incentives.</li>
<li>Equity Awards: This role is eligible to participate in Octave's equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan.</li>
<li>Remote Work Stipend: New full-time employees receive a $300 equipment reimbursement to support a home office setup.</li>
<li>Internet &amp; Phone Reimbursement: Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses.</li>
</ul>
Octave is committed to pay equity and transparency. Octave will not discharge or in any other manner coerce, intimidate, threaten, discriminate or retaliate against employees or applicants because they have: (i) inquired about, discussed, compared, or disclosed their own wages, benefits, or other compensation, or the wages, benefits, or other compensation of another employee or applicant; (ii) asked Octave to provide a reason for the employee's wages or lack of opportunity for advancement; or (iii) aided or encouraged others in exercising their rights to discuss wages, compensation, or benefits, or to seek pay equity.

However, except as otherwise provided by law, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) in compliance with the company's legal duty to furnish information under applicable law .
<h3 class="jobSectionHeader">
Comprehensive Benefits:</h3>

At Octave, we believe in supporting the &quot;human being first&quot;. Here's a snapshot of the benefits available to eligible employees:
<ul>
<li>Health &amp; Wellness: Choose what works best for you with one High Deductible Health Plan (HDHP) and two PPO medical plan options, plus comprehensive Dental and Vision coverage.</li>
<li>Medical Support: Enjoy access to a company-sponsored membership with One Medical for convenient, modern care.</li>
<li>Retirement: Plan for your future with a 401(k) that offers both traditional and Roth options.</li>
<li>Paid Time Off: Time to recharge matters. Take advantage of a generous time off policy, up to 15 paid company holidays, and accrued sick time.</li>
<li>Financial Protection: We've got you covered with company-paid Life, AD&amp;D, and Disability insurance, plus optional extras like Pet, Legal, and Worksite plans (Critical Illness, Hospital Indemnity, and Accident).</li>
<li>Parental Leave (Bonding Time): Growing your family? Full-time employees can take paid bonding leave after 6 months, whether it's a new baby, adoption, or foster placement. Time off increases with tenure.</li>
<li>Growth: Keep learning and leveling up with professional development reimbursement for role-related growth opportunities.</li>
</ul><h3 class="jobSectionHeader">How We Use Technology in Hiring:</h3>

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.<div>
Application Instructions:

Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.</div></div>

Sr. Data Engineer

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