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associate machine learning engineer

Handshake

<div><h1 class="jobSectionHeader"><b>About Handshake</b></h1><p>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.</p><p>
Why join Handshake now:</p><ul><li><p>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</p></li><li><p>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</p></li><li><p>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</p></li><li><p>
Build a massive, fast-growing business with billions in revenue</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About the Role</b><b>
</b></h1><p>Handshake is hiring an Associate Machine Learning Engineer for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.</p><p>
You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.</p><p><b>
What You'll Do</b></p><ul><li><p><b>
Innovator:</b> Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization &mdash; with guidance from senior engineers.</p></li><li><p><b>
Collaborator:</b> Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.</p></li><li><p><b>
Learner:</b> Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Desired Capabilities
</b></h1><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field</p></li><li><p>
0&ndash;2 years of experience in machine learning, data science, or a related area</p></li><li><p>
Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow</p></li><li><p>
Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation</p></li></ul><p><b>
Extra Credit</b></p><ul><li><p>
Master&rsquo;s degree or currently pursuing an advanced degree in a relevant field</p></li><li><p>
Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI</p></li><li><p>
Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)</p></li><li><p>
Experience with cloud platforms (GCP, AWS, or Azure)</p></li><li><p>
Clear communicator, able to translate technical work for diverse audiences</p></li><li><p>
Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Perks</b></h1><p>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.</p><p><b><i>
The below benefits are for full-time US employees.</i></b></p><p>
<b>Ownership:</b> Equity in a fast-growing company</p><p>
<b>Financial Wellness</b>: 401(k) match, competitive compensation, financial coaching</p><p>
<b>Family Support:</b> Paid parental leave, fertility benefits, parental coaching</p><p>
<b>Wellbeing:</b> Medical, dental, and vision, mental health support, $500 wellness stipend</p><p>
<b>Growth:</b> $2,000 learning stipend, ongoing development</p><p>
<b>Remote &amp; Office:</b> Internet, commuting, and free lunch/gym in our SF office</p><p>
<b>Time Off:</b> Flexible PTO, 15 holidays + 2 flex days</p><p>
<b>Connection:</b> Team outings &amp; referral bonuses</p><p>
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.</p><p>
Compensation Range: $115K - $144K</p></div>

Associate Machine Learning Engineer

Prolific

<div>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We&rsquo;re looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you&rsquo;ll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you&rsquo;ll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (PST)

Stealth Startup

<div>
 <p>
  The Culture We Are Building
 </p>
 <ul>
  <li>
   We are assembling a lean group of generalists. While we welcome experience, we're primarily looking for creative, curious problem solvers with a keen interest in open-ended, technically challenging problems.
  </li>
  <li>
   We are looking to hire in-person in San Francisco. We believe that having a community is critical for learning, growth, and camaraderie. We will pay generously for relocation assistance.
  </li>
  <li>
   We want to invest heavily in our team's growth. We will happily sponsor conference attendance and encourage projects and research. If there's something that will help you grow as an engineer, researcher, or designer, we actively want to support it.
  </li>
  <li>
   We believe in compensating exceptional talent exceptionally well. We are an early stage company, but are committed to working with candidates we're excited about to ensure they are excited too.
  </li>
  <li>
   We have an academic as well as competitive spirit. We enjoy thought exercises, math puzzles, intellectual inquiry, and vigorous debates.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Role: Machine Learning Engineer
 </p>
 <p>
  Design, train, and ship models that guide reviewers to the most important changes, resolve merge conflicts more safely, and make diffs understandable through semantic grouping and summarization. You'll combine retrieval, code‑aware modeling, and small‑model techniques to deliver low‑latency, cost‑effective ML in production.
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   -Train and fine‑tune models that predict the next location a reviewer should focus on: ranking files, hunks, and comments
  </li>
  <li>
   -Build ML‑assisted merge conflict resolution: align and reconcile hunks using code context/AST, propose safe resolutions, and explain changes
  </li>
  <li>
   -Develop semantic change grouping and diff visualization: detect refactors/moves, cluster related edits across files, and generate concise summaries
  </li>
  <li>
   -Evaluate retrieval and RAG for pull requests: retrieve relevant context, discussions, and history to improve grouping, prioritization, and summarization
  </li>
  <li>
   -Design offline/online evaluation: labeled datasets, ranking metrics (e.g., MAP/NDCG), A/B experiments, and human‑in‑the‑loop feedback
  </li>
  <li>
   -Operate efficient inference: apply small‑model techniques (LoRA, supervised fine‑tuning, distillation, quantization)
  </li>
 </ul>
 <p>
  Qualifications
 </p>
 <ul>
  <li>
   -Strong background in deep learning research and implementation, with experience in modern architectures and concepts (transformers, MoE, reasoning, etc.)
  </li>
  <li>
   -Track record publishing results at top-tier conferences (NeurIPS, ICML, ICLR)
  </li>
  <li>
   -Expertise in Python and ML frameworks (PyTorch, JAX)
  </li>
  <li>
   -Experience with MLOps and model optimization (ONNX, TensorRT, serving infrastructure)
  </li>
  <li>
   -Familiarity with cost‑effective techniques: LoRA, supervised fine‑tuning, distillation, and quantization for small/efficient models
  </li>
  <li>
   -Familiarity with systems programming across the stack: Rust/C/C++, CUDA/GPU optimization, and kernel-level performance tuning
  </li>
  <li>
   -Experience with reinforcement learning, particularly in systems optimization and decision-making tasks
  </li>
 </ul>
 <p>
 </p>
</div>


Machine Learning Engineer [32985]

Genentech

<div><div><div>THE POSITION</div><p><b>
Job Summary</b></p><p>
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.</p><p></p><p><b>
Key Job Responsibilities</b></p><p></p><ul><li><p>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</p></li><li><p>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</p></li><li><p>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</p></li><li><p>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</p></li><li><p>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</p></li><li><p>
Apply data science and other advanced analytical methodologies,<i> </i>using multiple data sources and tools.</p></li><li><p>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</p></li><li><p>
Communicate findings effectively to both technical and non-technical audiences.</p></li></ul><p><b><i><br>
Who You Are</i></b></p><ul><li><p>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>
5 years of experience in data science or related roles.</p></li><li><p>
Proficiency in programming languages such as Python, R.</p></li><li><p>
Knowledge of SQL for database management.</p></li><li><p>
Strong expertise in Machine Learning and Deep Learning techniques</p></li><li><p>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</p></li><li><p>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with large and complex data sets in collaboration with business and analytics teams.</p></li><li><p>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</p></li><li><p>
Contributions to open source projects or publications in data science.</p></li><li><p>
Experience in healthcare, pharmaceutical, or highly regulated industries.</p></li><li><p>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</p></li><li><p>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</p></li><li><p>
Proficiency with industry-standard programming languages such as Python.</p></li><li><p>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</p></li><li><p>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</p></li><li><p>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</p></li><li><p>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</p></li></ul><p><b>
Location</b></p><ul><li><p>
This position is based in South San Francisco, CA at our Genentech Campus</p></li><li><p>
Relocation benefits are NOT available for this posting</p></li></ul><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. 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.</p><p>
 Benefits</p><p></p><p>
#LI-CM4</p><p></p><p>
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.</p><p></p><p>
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.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational Biology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 2nd 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108637</p></div></ul></div></div></div></div><p></p>

Senior Data Scientist

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The Role</b><br>
The Risk Data Science team is seeking a strategic and technically deep Machine Learning Engineer to lead the evolution of SoFi's Home Loan and Home Equity risk frameworks. This role is at the center of a high-priority initiative to deliver a comprehensive, loan-level credit risk and valuation framework for our home lending portfolios.</p>
<p>
As a key technical leader, you will apply state-of-the-art ML methodologies to solve complex problems&mdash;including default and prepayment modeling, property valuation (AVMs), and credit risk assessment&mdash;ensuring our high-value secured loan products are backed by world-class data science.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Lead the design and implementation of ML models for mortgage-specific use cases, including credit underwriting, debt-to-income (DTI) validation, and automated appraisal reviews.</li>
<li>Provide technical oversight and end-to-end ownership of externally developed models, ensuring they meet rigorous internal standards for quality, performance, and scalability.</li>
<li>Present model performance and portfolio insights to senior leadership, translating complex data into actionable credit and business strategies.</li>
<li>Collaborate with Model Risk Management (MRM) and governance teams to ensure all models are developed with the technical rigor required to satisfy complex regulatory and compliance standards.</li>
<li>Partner with Product and Engineering teams to operationalize models, overseeing deployment, real-time monitoring, and seamless integration into core business systems.</li>
<li>Continuously explore and leverage in-house, external, and open-source ML frameworks to build the next generation of proprietary mortgage risk tools.</li></ul><br>
<p></p>
<p><b>
What You'll Need</b></p>
<ul>
<li>Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a quantitative field required. Ph.D. preferred.</li>
<li>5+ years of direct experience with building, implementing, and deploying machine learning models within Home Loans or Home Equity lending environments.</li>
<li>Expert knowledge of statistical modeling and ML methods, including linear/logistic regression, ensemble methods (XGBoost/LightGBM), clustering, and outlier detection.</li>
<li>Strong programming skills in Python and SQL.</li>
<li>Hands-on experience with ML model implementation in production environments using tools such as AWS SageMaker, Git, Docker, and CI/CD pipelines.</li>
<li>Strong ability to distill complex technical methodologies into simple, persuasive terms for non-technical stakeholders.</li></ul><br>
<p></p>
<p><b>
Nice To Have</b></p>
<ul>
<li>Proven track record in technical model documentation and navigating the Model Risk Management lifecycle.</li>
<li>Experience working in a cross-functional capacity across Product, Engineering, and Risk departments.</li>
</ul><div><div><b>Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Staff Data Scientist

AmeriCorps

<div>Safe Passages Summer Associate VISTAs serve in school-linked programs in Oakland to support academic engagement, mentoring, and basic needs outreach for students and families in high-poverty communities. Associates assist with summer academic enrichment and project-based learning activities, provide mentoring and social-emotional support to youth, and help coordinate family outreach and basic needs resources such as summer food distribution and referrals. Through this work, Summer Associates help reduce summer learning loss for low-income students while strengthening the capacity of Safe Passages&rsquo; Extended Day and Family Resource programs to deliver coordinated services that support long-term educational success and family stability.<br>
<br>
<br>
<p></p><div><div><div><div><div><div><div><div><div><div><div><div><b>Member Duties :</b> Safe Passages Summer Associate VISTAs will support structured summer programming for students in Oakland schools serving high-poverty communities. Associates will facilitate small group academic enrichment and project-based learning activities, provide mentoring and social-emotional support to students, and assist staff in implementing summer programs designed to prevent summer learning loss. Members will also support family outreach and communication regarding school resources and summer food distribution efforts, and assist with basic needs activities such as food distribution coordination and community resource referrals. Through these activities, Summer Associates help ensure students remain engaged in learning and connected to supportive services during the summer months.
</div></div><br>
<br>
<div></div><div><div><b>Program Benefits :</b> Choice of Education Award or End of Service Stipend , Living Allowance , Education award upon successful completion of service , Training .</div></div><div></div><div><div><br>
</div></div><br>
<br>
<div></div><div><div><b>Terms :</b>
<br>
Permits attendance at school during off hours , Permits working at another job during off hours .
</div></div><br>
<br>
<div></div><div><div><b>Service Areas :</b>
<br>
Community Outreach , Community and Economic Development , Children/Youth , Education .
</div></div><br>
<br>
<div></div><div><div><b>Skills :</b>
<br>
Community Organization , Communications , Teaching/Tutoring , Education .</div></div><div></div><div><div><br>
</div></div><br>
<br>
<br>
</div></div></div><div></div><div><div><div><div><div><b>SUMMARY</b></div>
</div><br>
<div><div><b>Program Type:</b></div>
</div><br>
<div><div>AmeriCorps VISTA</div><br>
</div><br>
<br>
<p></p><div><div><b>Program</b></div>
</div><br>
<div><div>VISTA Summer Associates</div><br>
</div><br>
<br>
<p></p><div><div><b>Program Start/End Date</b></div>
</div><br>
<div><div>05/18/2026 - 07/10/2026</div><br>
</div><br>
<br>
<p></p><div><div><b>Work Schedule</b></div> <div>Full Time</div><br>
</div><br>
<br>
<p></p><div><div><b>Age Requirement</b></div>
</div><br>
<div><div>Minimum: 18 Maximum: None<br>
</div></div><br>
<br>
<p></p><div><div><b>Program Locations</b></div> <div>CALIFORNIA San Francisco/Oakland/San Jose<br>
</div></div><br>
<br>
<p></p><div><div><b>Accepting Applications</b></div>
</div><br>
<div><div>From 04/02/2026 To 04/24/2026</div><br>
</div><br>
<br>
<p></p><div><div><b>Contact</b></div> <div>Katie Brym</div>
</div><br>
<div><div>1017 Clay St</div>
</div><br>
<div><div>Oakland CA 94607
</div></div><br>
<div><div>5108174625</div><br>
</div><br>
<br>
<p></p><div><div><b>Listing ID </b></div><div>129202</div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

VISTA Summer Associates

Coinbase

<div><div><p>Ready to be pushed beyond what you think you're capable of?</p>
<p>
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.</p>
<p>
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.</p>
<p>
Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.</p>
<p>
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</p></div><p>
We're looking for a Senior Software Engineer to join the Blockchain Data Storage team!</p>
<p>
Our team has built the fundamental Web3 infrastructure, the data layer, by delivering an open-source, industry-leading suite of data availability solutions, ChainStack, to ensure efficient and scalable access. ChainStack is designed to ingest, index, and parse vast amounts of crypto data with minimal latency, providing a comprehensive solution to a widespread industry challenge. Come join us!</p>
<p><b>
What you'll be doing:</b></p>
<ul>
<li>Architect and develop distributed systems</li>
<li>Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps</li>
<li>Manage individual projects priorities, deadlines and deliverables with your technical expertise</li>
<li>Mentor and train other team members on design techniques and coding standards</li>
<li>Design and implement foundational infrastructure components used by every engineering team in production (e.g. dynamic configuration, secrets storage, container orchestration, etc)</li>
<li>Write high quality, well tested code to meet the needs of your customers</li>
</ul>
<p><b>What we look for in you:</b></p>
<ul>
<li>5+ years of experience in software engineering</li>
<li>Very strong in distributed systems or data systems. If you are experienced with Crypto, it's a big plus!</li>
<li>You've experienced architecting and developing solutions to ambiguous problems with significant impact</li>
<li>You're passionate about building an indexing platform that brings the Web3 and Web2 world together</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
<p><b> Nice to haves:</b></p>
<ul>
<li>You have gone through a rapid growth in your company (from 10 to 100s of engineers)</li>
<li>You have experience with Blockchains (such as Bitcoin, Ethereum etc.)</li>
<li>You have experience decomposing a large monolith into microservices</li>
<li>You've worked with Golang, Kafka, Redis, S3, Clickhouse, MongoDB</li>
<li>You've built financial, high reliability or security system</li>
</ul>
<p>Job #: P74888</p>
<div></div><div><p>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.</p>
<h3 class="jobSectionHeader"><b>
Commitment to Equal Opportunity</b></h3>
<p>
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.</p>
<p>
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).</p>
<h3 class="jobSectionHeader"><b>
Global Data Privacy Notice for Job Candidates and Applicants</b></h3>
<p>
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
</p><h3 class="jobSectionHeader"><b>AI Disclosure</b></h3>
<p><i>
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
</i></p><p><i>For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.</i></p>
<p><b><i>
The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment</i></b><i>. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</i></p></div></div><p></p>

Senior Software Engineer, Blockchain Data Storage

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