biology - graduates - ai training - usa Jobs in New York

biology - graduates - ai training - usa

advanced quality engineer Jobs in New York

advanced quality engineer

ai enablement analyst

ai enablement lead l&d training Jobs in New York

ai enablement lead l&d training

ai engineer

biology graduates ai training usa

Prolific

<div>
 Biology - Graduates - AI Training
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 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.
 
 
 
 The role
 
 
 
 We're looking for
 
 Biology Experts and Life Science Professionals
 
 to join our Expert Network to help train and evaluate cutting-edge AI models using real scientific expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $60 per hour
 
 . You must be prepared to complete paid tasks that
 
 require one hour of uninterrupted work
 
 , though many are shorter.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 
 Education:
 
 a BS, MS, or PhD in Biology, Molecular Biology, Genetics, Bioinformatics, Pharmacology, or a related Life Sciences field.
 </li>
 <li>
 
 Professional Experience:
 
 years of experience in laboratory research, clinical trials, biotech, or academic instruction.
 </li>
 <li>
 
 Scientific Literacy:
 
 the ability to interpret complex biological data, peer-reviewed journals, and technical protocols with high precision.
 </li>
 <li>
 
 Critical Thinking:
 
 a sharp eye for identifying scientific "hallucinations," such as incorrect protein folding logic, misapplied genetic sequences, or flawed experimental designs.
 </li>
 <li>
 
 Methodological Knowledge:
 
 deep understanding of the scientific method, statistical significance in biological contexts, and regulatory standards.
 </li>
 <li>
 
 Communication:
 
 ability to explain intricate biological pathways or cellular mechanisms in clear, accurate technical prose.
 </li>
 <li>
 A PayPal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 
 Evaluate AI-Generated Science:
 
 review model responses to complex biological queries for factual accuracy, reasoning, and adherence to current scientific consensus.
 </li>
 <li>
 
 Fact-Check Technical Claims:
 
 validate citations from public databases (e.g., PubMed, NCBI) and ensure AI-generated summaries of research papers are accurate.
 </li>
 <li>
 
 Assess Experimental Logic:
 
 critique AI-proposed experimental designs, including controls, variables, and troubleshooting steps for lab procedures.
 </li>
 <li>
 
 Annotate Scientific Data:
 
 identify and correct errors in model-generated biological sequences, chemical structures, or taxonomy classifications.
 </li>
 <li>
 
 Ensure Ethical Alignment:
 
 verify that AI responses regarding bioethics and sensitive biological data comply with professional and safety standards.
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional 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.
 
 
 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.
 
 
 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 breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 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>

Biology - Graduates - AI Training - USA

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Job Opportunity - Biology AI Training Expert
 
 
 Biology Expert - AI Training (Life Sciences)
 
 
 
 Location:
 
 New York, NY (Hybrid: On-site &amp; Remote)
 
 
 
 Company:
 
 Prolific
 
 
 
 Role Type:
 
 Expert Network / Contractor
 
 
 
 Potential Earnings:
 
 Up to $60 per hour
 
 
 
 Job Overview
 
 
 
 Prolific is seeking Biology Experts and Life Science Professionals to join its Expert Network. The primary objective is to help train and evaluate cutting-edge AI models using real scientific expertise. Successful candidates will complete a brief (10-15 minute) assessment and, if selected, participate in paid tasks requiring high-level biological knowledge to ensure AI factual accuracy and logical consistency.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Evaluate AI-Generated Science: Review model responses to complex biological queries for factual accuracy, reasoning, and adherence to scientific consensus.
 </li>
 <li>
 Fact-Check Technical Claims: Validate citations from public databases (e.g., PubMed, NCBI) and ensure AI summaries of research papers are accurate.
 </li>
 <li>
 Assess Experimental Logic: Critique AI-proposed experimental designs, including controls, variables, and lab troubleshooting steps.
 </li>
 <li>
 Annotate Scientific Data: Identify and correct errors in model-generated biological sequences, chemical structures, or taxonomy classifications.
 </li>
 <li>
 Ensure Ethical Alignment: Verify that AI responses regarding bioethics and sensitive biological data comply with professional and safety standards.
 </li>
 <li>
 Task Duration: Tasks typically require one hour of uninterrupted work, though many are shorter.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Education
 
 
 Must hold a BS, MS, or PhD in Biology, Molecular Biology, Genetics, Bioinformatics, Pharmacology, or a related Life Sciences field.
 
 
 
 Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Professional experience in laboratory research, clinical trials, biotech, or academic instruction.
 </li>
 <li>
 Scientific Literacy: Ability to interpret complex biological data, peer-reviewed journals, and technical protocols with high precision.
 </li>
 <li>
 Critical Thinking: Sharp ability to identify "hallucinations" (e.g., incorrect protein folding logic, misapplied genetic sequences, flawed experimental designs).
 </li>
 <li>
 Methodological Knowledge: Deep understanding of the scientific method, statistical significance in biology, and regulatory standards.
 </li>
 <li>
 Communication: Ability to explain intricate biological pathways or cellular mechanisms in clear, accurate technical prose.
 
 
 </li>
 </ul>
 Logistics &amp; Requirements
 
 
 <ul>
 <li>
 Payment Method: A PayPal account is required to receive payments.
 </li>
 <li>
 Work Environment: Flexible hours with the ability to work from home.
 </li>
 <li>
 Workflow: Join the platform and start tasks within 15 minutes of passing the assessment.
 </li>
 </ul>
</div>

Exert Infotech LLC

<div>
 
 📢 Hiring: Data Engineer (Entry-Level) &ndash; USA 🇺🇸
 
 
 
 🎓 Open to Dec 2025 &amp; May Graduates | Visa Sponsorship Available
 
 
 
 We are actively looking for
 
 motivated and detail-oriented Data Engineer graduates
 
 to join our growing team in the United States. If you are passionate about data, cloud technologies, and building scalable pipelines &mdash; this is a great opportunity to kickstart your career.
 
 
 🔹 Role: Data Engineer (Entry-Level)
 
 
 📍 Location: United States (Onsite / Hybrid / Remote options available)
 
 
 🎓 Eligibility: Graduating in
 
 Dec 2025 or May 2026
 
 
 
 💼 Job Type: Full-time
 
 
 🌍 Work Authorization:
 
 OPT / CPT / STEM OPT / GC/ US Citizen
 
 
 
 🔧 Key Responsibilities:
 
 <ul>
 <li>
 Design, build, and maintain scalable
 
 data pipelines
 
 </li>
 <li>
 Work with large datasets using
 
 SQL, Python, or Spark
 
 </li>
 <li>
 Support
 
 ETL/ELT processes
 
 and data integration
 </li>
 <li>
 Collaborate with data analysts and business teams
 </li>
 <li>
 Ensure
 
 data quality, governance, and performance optimization
 
 </li>
 </ul>
 
 🛠️ Required Skills:
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL &amp; Python
 
 </li>
 <li>
 Understanding of
 
 Data Structures &amp; Algorithms
 
 </li>
 <li>
 Familiarity with
 
 cloud platforms
 
 (AWS / Azure / GCP)
 </li>
 <li>
 Exposure to tools like
 
 Apache Spark, Hadoop, Snowflake
 
 </li>
 <li>
 Basic understanding of
 
 data warehousing concepts
 
 </li>
 </ul>
 
 ⭐ Preferred Qualifications:
 
 <ul>
 <li>
 Internship/project experience in data engineering or analytics
 </li>
 <li>
 Knowledge of
 
 Airflow, Kafka, or DBT
 
 </li>
 <li>
 Experience with
 
 real-time data processing
 
 </li>
 </ul>
 
 
</div>

Jr Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Application deadline: May 14, 2026 
 
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. 
 
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect! 
 
The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist &amp; Partner (ASP) org, which works backwards from our customer&rsquo;s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. 
 
A critical dimension of this role is Customer Data Readiness &mdash; assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect deployments. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business. 
 
Key job responsibilities 
<ul><li>Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans.
</li><li>Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.
</li><li>Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
</li><li>A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries.
</li><li>Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases).
</li><li>Cloud Data Access: Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG).
</li><li>Agentic IDE Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation.
</li><li>Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
</li><li>Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns.
</li></ul> 
A day in the life 
<ul><li>Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration
</li><li>Designing prompt strategies and evaluating model performance across different foundation models
</li><li>Building Lambda functions and API integrations that serve as tools for AI agents
</li><li>Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption
</li><li>Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise
</li><li>Configuring knowledge bases and data connectors for RAG-powered agent responses
</li><li>Running evaluation frameworks to measure AI agent accuracy, latency, and customer satisfaction
</li><li>Conducting architecture reviews and providing prescriptive guidance for production readiness
</li><li>Documenting implementation patterns and contributing to the team's knowledge base
</li></ul> 
About the team 
The Applied AI Solutions Architecture team is part of the AWS Specialist and Partner Organization (ASP). We are the technical bridge between Amazon Connect customers and the service teams building the next generation of AI-powered contact center capabilities. Our team operates at the forefront of agentic AI adoption, helping customers become production-ready with Amazon Connect's Unlimited AI features.
 
 
Diverse Experiences 
 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth 
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing</li><li>Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of distributed systems design and implementation or equivalent</li><li>Knowledge of large scale automation and workflow management or equivalent</li><li>Knowledge of database design and implementation or equivalent</li><li>Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers</li><li>Experience architecting, migrating, transforming or modernizing customer requirements to the cloud</li><li>Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.)</li><li>Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually 
USA, CO, Denver - 182,800.00 - 247,300.00 USD annually 
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually 
USA, IL, Chicago - 182,800.00 - 247,300.00 USD annually 
USA, NY, New York - 201,000.00 - 272,000.00 USD annually 
USA, VA, Herndon - 182,800.00 - 247,300.00 USD annually 
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually</div>

Principal Applied AI Solutions Architect, Amazon Connect

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's Seller Experience Legal team is seeking an experienced Contracts Manager who thinks like a business partner, builds like a technologist, and executes like a seasoned legal professional. You'll own end-to-end contracting for teams supporting millions of third-party sellers, develop AI-powered tools that transform how legal work gets done, and help structure deals with global brands and industry leaders. This isn't coordination&mdash;it's ownership. You'll turn ambiguous inputs into polished outputs, build legal infrastructure that raises the bar for everyone, and act as the critical bridge between legal strategy and business execution. If you're curious, autonomous, and the kind of person who sees a messy process and immediately starts thinking about how to fix it (and then actually fixes it), this role offers the impact and innovation you're looking for. 
 
Key job responsibilities 
<ul><li>Own end-to-end contracting for Seller Experience Legal&mdash;drafting, negotiating, and closing commercial agreements with minimal oversight while identifying risks and recommending business-enabling solutions</li><li>Build and deploy AI-powered tools and automated workflows that reduce manual work, accelerate output, and expand what the team can accomplish</li><li>Develop and maintain contract templates, training materials, SOPs, and metrics that raise the bar for team performance and operational excellence</li><li>Design holistic project plans for proactive legal initiatives&mdash;owning scope, milestones, and delivery across cross-functional stakeholders</li><li>Provide prompt, accurate legal guidance to business partners, escalating appropriately and ensuring stakeholders always have clarity on next steps</li></ul> 
A day in the life 
Your day will be a blend of execution and strategic engagement. In the morning you might be reviewing a commercial agreement, flagging risk gaps, and recommending changes&mdash;then pivoting to a cross-functional sync where you're the legal voice helping a product team move faster, not slower. In the afternoon you're iterating on an AI-powered contract workflow, updating a program tracker for leadership, or drafting training materials that make the next deal easier for everyone. 
 
About the team 
Amazon's Seller Experience Legal team is the strategic partner accelerating seller success and creating the most delightful third-party seller experience in retail. We support Selling Partner Experience , which builds seller-facing tools; Selling Partner Infrastructure and Financials, which manages how sellers get paid; and North America Selling Partner Business, which drives seller growth and onboarding. We're the legal team that says &quot;yes, and here's how,&quot; facilitating partnerships with major industry leaders, structuring deals with global brands, and supporting marquee events like Amazon Accelerate. The work is fast-paced, high-impact, and genuinely fun.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of contracts management experience</li><li>Experience managing multiple internal stakeholders and advising cross-functional teams</li><li>Experience advising business teams to support the strategy, negotiation and execution of commercial contracts</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Can use AI for legal research, contract analysis, or document review</li><li>Experience with complex commercial/legal concepts and drafting, ability to quickly read and interpret legal terminology and reasoning</li><li>Experience in program or project management</li><li>Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders</li><li>Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc.</li><li>Paralegal background or equivalent hands-on legal experience; comfort with contract drafting, negotiation, and lifecycle management</li><li>A track record of building legal infrastructure: templates, SOPs, training materials, and metrics</li><li>Experience with AI tools or automation platforms, and appetite to go deeper</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 83,600.00 - 146,300.00 USD annually 
USA, VA, Arlington - 76,000.00 - 133,000.00 USD annually 
USA, WA, SEATTLE - 82,700.00 - 133,000.00 USD annually</div>

Contracts Manager, Seller Experience Legal (SELL)

Biohub

<div>
 Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
 
 
 Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.
 
 
 
 Our Research Spans
 
 
 
 <ul>
 <li>
 Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond.
 </li>
 <li>
 Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
 </li>
 <li>
 Imaging foundation models trained across the world's largest microscopy datasets
 </li>
 <li>
 Reasoning and agentic systems that connect frontier LLMs with biological foundation models
 </li>
 <li>
 Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
 </li>
 <li>
 Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled
 
 
 </li>
 </ul>
 Join our Team!
 
 
 As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
 </li>
 <li>
 Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
 </li>
 <li>
 Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
 </li>
 <li>
 Deploy models to production and manage artifact tracking across models and datasets.
 </li>
 <li>
 Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
 </li>
 <li>
 Work on simplification and improvement of codebase abstractions to accelerate research momentum.
 </li>
 <li>
 Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
 </li>
 <li>
 Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
 </li>
 <li>
 Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
 </li>
 <li>
 Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
 </li>
 <li>
 Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 <ul>
 <li>
 Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
 </li>
 <li>
 Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
 </li>
 <li>
 Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
 </li>
 <li>
 Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
 </li>
 <li>
 Experience building or working with AI agent frameworks is a plus.
 </li>
 <li>
 A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
 
 
 
 Benefits For The Whole You
 
 
 
 We&rsquo;re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
 
 
 <ul>
 <li>
 Provides a generous employer match on employee 401(k) contributions to support planning for the future.
 </li>
 <li>
 Paid time off to volunteer at an organization of your choice.
 </li>
 <li>
 Funding for select family-forming benefits.
 </li>
 <li>
 Relocation support for employees who need assistance moving
 
 
 </li>
 </ul>
 
 Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!
 
</div>

Machine Learning Engineer, AI

Silna

<div>
 
 AI Deployment Analyst at Silna
 
 
 
 
 About the Role:
 
 
 
 We are looking for a curious, analytical teammate to join our AI Operations team at Silna. In this role, you&rsquo;ll help us design, test, and roll out AI deployments that interpret complex healthcare documents, like treatment plans and prior authorization approval letters, using optical character recognition (OCR) and agentic AI. You will work on the end-to-end deployment of browser and phone agents for automating healthcare web-based workflows.
 
 
 This is a great role for a recent graduate with a background in computer science, data science, or a non-technical field who wants to apply those skills in a real-world, high-impact healthcare setting. You&rsquo;ll work closely with operations and engineering to make sure our AI systems produce accurate, usable outputs that enable patients to access care faster.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop, test, and refine AI deployments that extract structured information from healthcare documents (e.g., treatment plans, prior authorization approvals) or web-based authorization and verification workflows. Analyze model outputs for accuracy and identify areas for improvement.
 </li>
 <li>
 Work with operations and engineering teams to translate healthcare and insurance workflows into clear technical specifications for AI.
 </li>
 <li>
 Create documentation and playbooks to ensure prompt strategies are reproducible and scalable.
 </li>
 <li>
 Stay up-to-date with best practices in AI prompting, document parsing, and healthcare data handling.
 </li>
 <li>
 Work cross functionally with our team of healthcare experts to drive the roll out of our automation strategies.
 </li>
 <li>
 Measure and evaluate progress by creating clearly defined metrics.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Background in computer science, data science, or non-technical field but with strong analytical and problem-solving capabilities (recent graduates encouraged to apply).
 </li>
 <li>
 Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Interest in natural language processing concepts, AI/ML, or OCR technologies (coursework or internship experience counts!).
 </li>
 <li>
 Ability to think critically about ambiguous problems and propose structured solutions.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 <li>
 Bonus: Experience with Python, SQL, or healthcare data/insurance workflows.
 
 
 </li>
 </ul>
 
 About Silna
 
 
 
 Healthcare is obsessed with optimizing a broken system. We're making sure it never breaks.
 
 
 Silna Health attacks the root cause of denied claims: the fragmented, incompatible systems that govern prior authorizations, eligibility verification, and benefit checks, turning workflows that used to take days into decisions made in minutes, before care is ever delivered.
 
 
 We work across behavioral health, physical health, ambulatory care, and post-acute care, where administrative failure doesn't just cost money; it can delay or deny patient access entirely. We're backed by Accel and Bain Capital Ventures, and we're building fast.
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A fast-paced work environment with an incredibly enthusiastic and motivated team
 </li>
 <li>
 The opportunity to work with customers that really love the product
 </li>
 <li>
 The ability to work on technology that is materially improving health outcomes
 </li>
 <li>
 Competitive compensation and benefits package
 </li>
 <li>
 401k
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 Compensation Range: $120K - $160K
 
 
</div>

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