senior software engineer Jobs in San Francisco

senior software engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research engineer Jobs in San Francisco

ai research engineer

cellular data automation engineer

Apple

Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what&rsquo;s considered feasible? As part of a world class modem team, you&rsquo;ll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You&rsquo;ll work across disciplines to transform improved hardware elements into a single, integrated design. 
 
Join us, and you&rsquo;ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you&rsquo;ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular Data &amp; Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for designing and productizing state-of-the-art cellular SoCs. 
 
Description 
 
As a Data &amp; Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms &amp; machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.&quot;,&quot;responsibilities&quot;:&quot;Develop new features to enhance the automation system based on the business&rsquo;s needs 
 
Develop and maintain real-time data processing pipelines to ensure processing accuracy and efficiency 
 
Collaborate closely with AI/ML engineers to integrate new AI pipelines and ML models into the production system and ensure achieving expected results and efficiency 
 
Integrate various internal tools and external tools into the existing automation system and/or data processing pipelines to enable new applications 
 
Provide technical support for users and help troubleshoot issues to unblock projects 
 
Preferred Qualifications 
 
Master&rsquo;s degree in data science or computer science or machine learning is preferred. 
 
Proficient in scripting or programming languages such as Python, Java, C/C++ with 5+ years of proven programming skills. 
 
Advanced SQL skills with the ability to write complex joins and nested queries. 
 
Proficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together. 
 
Experience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation. 
 
Experience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD. 
 
Ability to leverage data science algorithms and machine-learning models to solve various kinds of issues. 
 
Experience in utilizing analytics and statistical methods to transform data into useful insights and actionable results. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies. 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience. 
 
Proficient developer with 3+ years proven programming skills using Python, Pandas, Matplotlib and other key related tools. 
 
Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. 
 
Experience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
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 $139,500 and $258,100, 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.

Cellular Data & Automation Engineer

Lila Sciences

<div>Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in science. Within Life Science AI (LSAI), we are launching a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data; that integrate deep biological expertise with foundation modeling and agentic systems.

We are seeking a Principal ML Research Engineer to be the founding engineering leader on this team. This is a 01 hands-on role. You will build and operate the engineering platform: domain data, domain-specific models, shared specialist-model serving and inference, agentic infrastructure, and the evaluation harness that the team's research programs run on, and that integrates cell-biology research with Lila's central autonomous-science platform: it's core-model, agentic-systems, and experimental-automation infrastructure that closes the loop between AI reasoning and the lab. You will work closely with Lila's central AI Platform, Data Platform, and autonomous-lab engineering teams to leverage and extend core Lila infrastructure rather than rebuild it, and you will co-develop the technical direction of the team with the VP of AI for Cell Biology and its ML Scientists as you build.

Cell- and tissue-scale biology sits at an open frontier of AI for science. The field has produced strong specialist models across sub-domains: single-cell foundation models, molecular structural prediction, perturbation response, cellular imaging, pathway and ligand&ndash;receptor inference &mdash; but the engineering platform that makes these models reliably composable, the domain data that grounds them, and the evaluation that connects their outputs to autonomous experimentation are still being defined. We have a working point of view on what that platform looks like: domain-specific data curation and accessibility; fine-tuning and (where warranted) training of domain-specific models on cell- and tissue-resolution data; shared specialist-model serving; a unified reasoning-trace and tool-call schema; evaluation-harness instrumentation; and the agentic infrastructure for rollout generation, tool orchestration, and rubric grading that the team's research programs share &mdash; and you will refine, challenge, or replace it. The platform choices you make will shape what Lab-in-the-Loop autonomous science looks like at cell and tissue scale.

This is a senior IC role for someone who wants to build, with the engineering depth to ship the infrastructure that makes cell-biology research programs thrive and the judgment to co-author tech stack strategy with the team scientific leads as the platform takes shape.

What You'll Be Building
<ul>
<li>Build and operate the domain data platform. Stand up the curation, accessibility, lineage, schema, and versioning infrastructure for the multi-modal scientific data the team's research programs depend on: single-cell, multi-omics, spatial, imaging, perturbation, and genetics. Make complex domain data discoverable and queryable for ML scientists and computational biologists. Steward the reasoning-trace and tool-call schema that lets domain data and downstream traces outlive any single program.</li>
<li>Build and operate the shared specialist-model serving and fine-tuning stack. Serve the field's strongest specialist biology models: single-cell foundation models, structural prediction, perturbation, spatial, imaging, pathway and ligand&ndash;receptor models, as composable, versioned tools the team's research programs share. Build the infrastructure to fine-tune these specialists on cell- and tissue-resolution data, and (where warranted by evaluation evidence) to train new domain-specific models.</li>
<li>Build and operate the shared agentic infrastructure. Stand up the rollout-generation, tool-orchestration, rubric-grading, and trace-QC agents that the team's research programs share. Set the standards by which agentic workflows are reproducible, observable, evaluable, and safe to scale.</li>
<li>Build and operate the cross-program evaluation harness. Build the instrumentation that gauges progress across the team's research programs and that connects team-internal metrics to Lila's broader scientific evaluation suite. Benchmarks instrumented here outlive any single program and become part of Lila's standing scientific evaluation suite.</li>
<li>Leverage and extend Lila's central AI Platform and Data Platform. Partner with Lila's central AI Platform, Data Platform, and autonomous-lab engineering teams to extend core Lila infrastructure for cell-biology-specific needs rather than rebuild it. Architect how cell-biology research feeds into and benefits from Lila's foundation-model, agentic-systems, and experimental-automation infrastructure, and how cell-biology research outputs flow back into Lila's broader autonomous-science capability. Push improvements back into the central platforms where the team's work generalizes.</li>
<li>Co-develop the technical platform direction. Partner with the team scientific leads to shape the engineering architecture end-to-end: domain data, specialist-model serving, agentic infrastructure, evaluation, and integration into Lila's Lab-in-the-Loop autonomous-science lifecycle. This is shared authorship of platform strategy alongside hands-on building, not in place of it.</li>
<li>Set engineering standards and grow the engineering bench. Set the team's engineering culture &mdash; code quality, reproducibility, deployment hygiene, observability, MLOps practice &mdash; and mentor research engineers across the team's research programs and applications horizontal. Externally, represent Lila's AI for Cell Biology platform engineering through open-source contributions, conference participation, and recruiting top-of-funnel.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Education and experience. Advanced degree (MS or PhD) in Computer Science, Machine Learning, Engineering, or a related quantitative field, or equivalent industry track record, with 8+ years of ML platform, infrastructure, or research-engineering experience and a record of shipping and operating production ML systems.</li>
<li>Hands-on ML platform building. Deep, hands-on experience building and operating ML platforms: model serving, fine-tuning and training pipelines, agentic orchestration, evaluation harnesses, data pipelines, that research teams build on. Comfortable both prototyping new infrastructure for the team and operating it at research scale, with central platform teams as the path to long-lived production services.</li>
<li>Domain data engineering depth. Hands-on experience designing, operating, and making accessible data pipelines and data infrastructure for high-dimensional multi-modal scientific data at scale: single-cell, spatial, imaging, multi-omics, genetics, or comparable scientific imaging/sequencing modalities. Comfortable owning curation, lineage, schema, and discoverability for research teams.</li>
<li>Specialist-model serving, fine-tuning, and integration. Hands-on experience serving heterogeneous specialist models (different frameworks, hardware profiles, inference patterns) as composable tools and fine-tuning or adapting them on domain-specific data. Comfort integrating multiple specialist models into end-to-end reasoning systems.</li>
<li>Agentic and autonomous-science systems experience. Demonstrated work on agentic, active-learning, or closed-loop systems &mdash; particularly those that orchestrate scientific tools, plan or execute experiments, or reason over scientific processes, and ideally those coupled to automated or autonomous laboratory infrastructure.</li>
<li>Modern ML systems tooling. Strong fluency in PyTorch (or JAX/TensorFlow); large-scale data loading; inference-time optimization; interactive scientific workflows; modern observability and deployment practice. Strong software engineering fundamentals: Python, containers, Kubernetes, CI/CD, infrastructure-as-code.</li>
<li>Cross-functional collaboration. Strong track record of collaboration across ML scientists, computational biologists, experimental scientists, and central AI/ML, data, and platform-engineering teams. Bilingual translation between platform engineering and cell biology is a daily activity.</li>
</ul>
Bonus Points For
<ul>
<li>Hands-on experience composing specialist biology models (e.g., single-cell foundation models, structural prediction models, perturbation models, spatial/imaging models, pathway and ligand&ndash;receptor models) into multi-step reasoning systems.</li>
<li>Experience standing up shared model-serving stacks for heterogeneous specialist models with different frameworks, hardware profiles, and inference patterns.</li>
<li>Experience building, fine-tuning, or contributing to domain-specific foundation models in biology, chemistry, or scientific imaging &mdash; useful where off-the-shelf specialists aren't good enough on cell- and tissue-resolution data.</li>
<li>Experience designing data accessibility, discoverability, and lineage tooling for complex scientific datasets shared across multiple research programs.</li>
<li>Experience operating against or contributing to shared central platform-engineering teams inside a large AI/ML organization.</li>
<li>Experience with closed-loop or Lab-in-the-Loop workflows where computational predictions drive experimental decisions and experimental results feed back to retrain or retune models.</li>
<li>Experience building or operating reasoning-trace, rubric-grading, or evaluation pipelines for agentic systems at scale.</li>
<li>Experience with large-scale distributed training infrastructure (cloud or on-prem clusters) &mdash; useful but not required, since this role primarily consumes rather than operates such infrastructure.</li>
<li>Open-source contributions to ML platform tooling, scientific computing frameworks, or biological modeling libraries.</li>
<li>Prior experience as a founding engineer or technical lead on a new team.</li>
</ul><div>
About LILA

Lila Sciences is building Scientific Superintelligence&trade; to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory&trade; instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

We're All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.</div></div>

Principal ML Research Engineer

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

Byte-Code SpA

<div>About Xaba
Xaba https://www.xaba.ai/ is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us in shaping the future of AI in robotics.
The Role
We are seeking an Applied Robotics Engineer to contribute to the development and deployment of our innovative products. As a key member of the Xaba team, you will play a pivotal role in shaping AI-powered robotics automation, while closely collaborating with the leadership team.
What you will do:<ul><li>
Collaborate with Xaba&rsquo;s cross-functional team of engineers to support the development, testing and deployment of AI models leveraging state-of-the-art DNN, CNN and GNN models to augment industrial robotics cognition, awareness and facilitate their program generation</li><li>
Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.</li><li>
Provide training and support for Xaba's products.</li><li>
Work closely with customers to understand their requirements and pain points, ensuring successful integration of AI-powered robotics software.</li></ul>
Technical Expertise:<ul><li>
Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in designing, building and deploying robotic systems.</li><li>
Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written English.</li></ul>
Nice to have:<ul><li>
Experience with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul>
Education:<ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul>
Our location
While our team is remote-first and fully distributed, but for this position you must live in San Francisco, California.
Our Team and Perks<ul><li>
We are an open, collaborative, and supportive culture including skill shares and design critiques</li><li>
We believe that employees should be owners, which is why we provide stock option grants for full-time employees</li><li>
We believe in supporting the health and wellbeing of our team, which is why we offer a competitive health benefits package</li><li>
As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget</li><li>
Learning and development is critical to us, which is why we have a self-directed learning budget</li><li>
Stock option grants for full-time employees, promoting a sense of ownership.</li><li>
Competitive health benefits package.</li></ul>
Our Hiring Process<ul><li>
Discover: You discover the opportunity and apply to the role</li><li>
Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.</li><li>
Deep dive: We have a 60 minute call to dive deep into your experience and the role.</li><li>
Meet your team: You have a video call with a few other Xaba team members.</li><li>
Offer: You receive an offer to join Xaba!</li></ul>
Accommodations and Accessibility
Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.
About Byte-Code SpA
As Italian hiring partner, Byte-Code is helping Xaba finding the best candidates. You can apply through our website: https://bytecode.recruitee.com/ 
Technical Expertise:<ul><li>
Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in designing, building and deploying robotic systems.</li><li>
Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written English.</li></ul>
Nice to have:<ul><li>
Experience with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul>
Education:<ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul></div>

Applied Robotics Engineer - San Francisco (CA)

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)

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

Opex Corporation

<div>Account Executive 
Position Summary
OPEX Corporation is currently looking for an Account Executive to join our team with a sales region of northern California, northern Nevada, Oregon and Washington. If you are talented, driven and an experienced Sales professional then OPEX may be the right place for you to pursue your career. 
OPEX Corporation is a recognized global technology leader in high-speed mailroom automation, document imaging, and warehouse automation . Our company manufactures and designs innovative mail automation equipment integrated with software solutions for business mailing operations, postal agencies, and letter shops across the world. 
Responsibilities: 
The Account Executive serves as a Sales Executive for new and existing accounts. The Account Executive facilitates all aspects of the sales process including but not limited to:
<ul><li>Understands the company's vision, mission, and strategy; understands business unit objectives and sets/accomplishes individual performance goals accordingly
</li><li>Identifies new sales opportunities with new and existing customers
</li><li>Qualifies sales opportunities through market / customer research and understanding the client&rsquo;s needs
</li><li>Communicates value proposition to customers, proposes sales solutions to customers and reevaluates solutions where necessary
</li><li>Managing the sales process from purchase order to installation
</li><li>Closes sales opportunities by securing purchase orders or signed proposals
</li>Provides outstanding customer service and post sales satisfaction facilitating long term relationships for repeat business with customers 
<li>
</li></ul>Qualifications:
<ul><li>3 plus years of successful Outside B2B Sales experience
</li><li>Bachelor&rsquo;s Degree preferred
</li><li>Prospecting, hunter mentality, and aggressive self-motivated individual
</li><li>Industry experience: Document Imaging and/or Document Management space desirable
</li><li>Sales or Operations experience is required
</li><li>Tech savvy and proficiency using Microsoft Office Suite Software (with an emphasis on Excel) strongly preferred
</li><li>Consultative selling skills &ndash; ability to assess client needs and create solution
</li><li>Average of 2-3 overnights within territory per month, remainder is work from home
</li><li>Strong planning, organization, communication, problem solving and decision-making skills
</li><li>Valid Driver&rsquo;s License with a good driving record (within the last 5 years) 
</li></ul>What OPEX Corporation Offers:
<ul><li>BASE SALARY, PLUS UNCAPPED COMMISSION
</li><li>Company Car provided
</li><li>Great product to sell, support structure, marketing specialist, happy customers
</li><li>Growing company &ndash; internationally and domestic
</li><li>Growth Opportunity
</li><li>Freedom to go after, conquer territory, and build book of business
</li><li>International leader in the state-of-the-art mail-handling and scanning equipment systems
</li>Significant engineering investment in new product development 
<li>
</li></ul>The salary range is $70k-$75k, based on experience.</div>
 <div>Company Overview
OPEX Corporation is more than a manufacturer of machines. We continuously reimagine technology to power the future for our customers.
With an innovative approach, we engineer unique automated solutions that support our customers so they can solve the most pressing business challenges for both today and tomorrow. Our scalable Warehouse, Document, and Mail Automation solutions improve workflow, accelerate change, and drive efficiencies in infrastructure.
We are a family-owned and operated organization with more than 1400 committed employees who innovate, manufacture, install, and service products that are helping transform industry every day. We listen to our customers, respect each other, and work together to help reimagine the future through automated solutions.
At OPEX, we are Next Generation Automation.
Benefits:
Benefits include, but are not limited to:
<ul><li>Full medical, dental and vision with low employee contribution rates
</li><li>Paid holidays and PTO allowance
</li><li>401k with matching and profit sharing
</li><li>Basic life insurance, short term and long-term disability
</li>Tuition reimbursement available 
<li>
</li></ul> 
OPEX Corporation is an Equal Opportunity/Affirmative Action Employer, without regard to race, color, religion, sex, national origin, age, disability, and protected veteran status.</div>

Account Executive - Northern CA, Northern NV, OR and WA

Explore 144+ Cellular data automation engineer in San Francisco this May. Find roles across top companies and apply now to boost your career.