data engineer

data analyst

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

biology - graduates - ai training - usa

data scientist

2026 internal communications intern - us Jobs in New York

2026 internal communications intern - us

machine learning intern

Meltwater

<div>
 
 Description
 
 
 
 Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater&rsquo;s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community.
 
 
 Our AI team is young, ambitious and focused on innovation.
 
 
 With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our underthehood blog to see which problems our engineers are solving.
 
 
 
 What We're Looking For:
 
 
 
 Meltwater&rsquo;s Consumer Intelligence AI Team is looking for a Software Engineer in Machine Learning to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers.
 
 
 We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI.
 
 
 As a Software Engineer in Machine Learning, you will own the software systems that power machine-learning-driven features from idea to production, with a strong focus on scalability, reliability, and operational excellence. You will work closely with ML-focused engineers and product teams to bring models and experiments into robust, real-world systems operating at massive scale.
 
 
 Our team is organized over 3 objectives : innovation, research and production.
 
 
 
 Innovation:
 
 We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.
 
 
 
 Research:
 
 To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.
 
 
 
 Production:
 
 We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.
 
 
 
 Who is this role for?
 
 
 
 This role is ideal for candidates with a strong background in software engineering or computer science who enjoy building scalable, reliable systems and want to work deeply with machine learning in production. You have some familiarity with core machine learning concepts (such as training, inference, and evaluation), but you may not be an ML expert yet. You are excited to grow your modeling, experimentation, and evaluation skills while owning production ML systems end to end.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and evolve production-ready systems, evaluation, and deployment at scale.
 </li>
 <li>
 Drive the development of industrial ML projects from ideation to deployment, with a primary focus on system design, infrastructure, scalability, and reliability, while progressively contributing to modeling, evaluation, and experimentation with support from the team.
 </li>
 <li>
 Own reliability, performance, monitoring, and operational quality of ML-powered systems in production.
 </li>
 <li>
 You&rsquo;ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities.
 </li>
 <li>
 Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 2+ years of experience as a Software Engineer or Machine Learning Engineer building data-intensive, distributed, or ML-adjacent systems
 </li>
 <li>
 You have strong software engineering fundamentals, including system design, data pipelines, APIs, and production debugging, with experience taking systems from prototype to production
 </li>
 <li>
 Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
 </li>
 <li>
 Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
 </li>
 <li>
 You are a team-player, self-learner and autonomous
 </li>
 <li>
 MS, PhD, or equivalent practical experience in computer science, software engineering, or a related technical field.
 </li>
 <li>
 Nice to have:
 </li>
 <li>
 Experience building industry-scale user-facing ML/AI/Agentic applications
 </li>
 <li>
 Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
 </li>
 <li>
 Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
 </li>
 <li>
 Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, &hellip;) is a plus
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 You will work with a team of passionate people who are always willing to help and learn from others
 </li>
 <li>
 You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business
 </li>
 <li>
 As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference
 </li>
 <li>
 Enjoy flexible paid time off that allows you to have an enhanced work-life balance.
 </li>
 <li>
 Excellent medical, dental, and vision options
 </li>
 <li>
 401(k) matching, life insurance, commuter benefits, and parental leave plans
 </li>
 <li>
 Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
 </li>
 <li>
 Energetic work environment with a hybrid work style, providing the balance you need.
 </li>
 <li>
 Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
 </li>
 <li>
 Total compensation range for this position: $126,000 - $210,000 USD per year.
 </li>
 <li>
 We are unable to provide visa sponsorship now or in the future. Applicants must have current, unrestricted authorization to work in the United States.
 
 
 </li>
 </ul>
 
 Where You'll Work:
 
 
 
 New York
 
 
 
 When you'll join:
 
 
 
 June/July 2026
 
 
 
 Our Story
 
 
 
 At Meltwater, we believe that when you have the right people in the right environment, great things happen.
 
 
 Our best-in-class technology empowers our
 
 27,000 customers
 
 around the world to make better business decisions through data. But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
 
 
 Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way.
 
 
 We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
 
 
 We&rsquo;re proud of our diverse team of
 
 2,200+ employees
 
 in
 
 50 locations
 
 across
 
 25 countries
 
 around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career.
 
 
 
 We are Meltwater. Inspired by innovation, powered by people.
 
 
 
 
 Our Team
 
 
 
 Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our under-the-hood blog to see which problems our engineers are solving.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
 
 
 
 
 All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
 
 
 
 
 Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
 
 
 We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws
 
</div>

Software Engineer - Machine Learning

Microsoft

<div>
 
 Overview
 
 
 
 As a Member of Technical Staff - Software Engineer &amp; Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from &ldquo;What happened?&rdquo; to &ldquo;Why did it happen?&rdquo; in minutes. You&rsquo;ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We&rsquo;re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
 </li>
 <li>
 Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
 </li>
 <li>
 Develop secure, compliant workflows for handling production logs and conversation data.
 </li>
 <li>
 Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
 </li>
 <li>
 Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
 </li>
 <li>
 Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
 </li>
 <li>
 Prototype and productionize ML models for anomaly detection and predictive insights.
 </li>
 <li>
 Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
 </li>
 <li>
 Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
 </li>
 <li>
 Independently write efficient, readable, extensible code and model pipelines.
 </li>
 <li>
 Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
 </li>
 <li>
 Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
 </li>
 <li>
 Demonstrated interest in Responsible AI.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 #mai-datainsights
 
 
 #mai-datainsights
 
 
 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Machine Learning Software Engineer

Paramount Streaming

<div>#WeAreParamount on a mission to unleash the power of content&hellip; you in? 
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture. 
Principal Machine Learning Engineer, Content Engineering (45445) 
Overview: 
We are seeking a Senior Lead / Principal Machine Learning Engineer to lead our ShortForm &amp; Video Intelligence pod. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into &quot;ShortForm&quot; assets&mdash;high-impact clips, &quot;gists,&quot; and social-ready highlights. You will lead the development of the models that &quot;watch&quot; our content to identify narrative hooks, emotional climaxes, and key characters to create compelling bite-sized experiences. 
This is a deeply technical leadership role requiring mastery of multi-modal machine learning. You will oversee the creation of intelligence layers that perform video safety analysis (nudity/profanity detection), spoiler detection, and sophisticated narrative comprehension. Your work ensures that our ShortForm content is not only engaging but also safe, contextually precise, and optimized for discovery across the Paramount ecosystem. 
The ShortForm pod unlocks the value of our entire catalog. In this role, you will directly shape: 
<ul><li>
The &quot;Gist&quot; Ecosystem: Building the engine that generates short-form previews, allowing users to &quot;snack&quot; on content before committing to a full watch.</li><li>
Platform Safety &amp; Integrity: Owning the &quot;Video Intelligence&quot; filters that protect our brand and users through automated detection of sensitive or restricted content.</li><li>
Narrative AI: Transitioning beyond simple metadata to a world where AI understands story arcs, character importance, and &quot;viral&quot; moments within a film or episode.</li></ul> 
Responsibilities: 
<ul><li>
Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers.</li><li>
Architect Multi-Modal Models: Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and text (transcripts/scripts) to understand content context.</li><li>
Own Video Intelligence: Develop and scale robust computer vision and audio classifiers for nudity, profanity, and sensitive content detection.</li><li>
Advance Narrative Understanding: Build models that can identify &quot;hooks,&quot; &quot;climax points,&quot; and &quot;narrative summaries&quot; to automate the creation of trailers and highlights.</li><li>
Spoiler &amp; Context Detection: Create intelligence layers that identify plot-critical &quot;spoilers&quot; to ensure ShortForm assets don't ruin the viewing experience for new users.</li><li>
Scalable Content Pipelines: Partner with Content Engineering to integrate these models into petabyte-scale video processing workflows.</li></ul> 
Basic Qualifications: 
<ul><li>
6-8+ years of experience in machine learning, with a heavy focus on Computer Vision (CV) and Multi-Modal architectures.</li><li>
Deep Learning Expertise: Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D CNNs). Video Intelligence: Proven experience building safety/moderation models (Nudity, Profanity, Hate Speech) or content-tagging systems.</li><li>
Leadership: Experience leading senior technical teams and translating complex &quot;creative&quot; goals into engineering requirements.</li><li>
Video Tech Stack: Knowledge of video processing frameworks (FFmpeg) and handling various codecs/resolutions at scale.</li></ul> 
Additional Qualifications: 
<ul><li>
Experience with Generative AI for Video (automated editing or style transfer).</li><li>
Background in NLP/Speech for sync-ing transcripts with video frames.</li><li>
Knowledge of Narrative Theory or experience in the media/entertainment industry.</li><li>
Experience deploying large-scale models in Cloud Environments (AWS/GCP/Azure) with high GPU utilization efficiency.</li></ul> 
#LI-RJ1 
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;. 
ADDITIONAL INFORMATION 
Hiring Salary Range: $234,000.00 - 260,000.00. 
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. 
<div>What We Offer:</div><ul><li>
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits</li><li>
Generous paid time off.</li><li>
An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li><li>
Opportunities for both on-site and virtual engagement events.</li><li>
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li><li>
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li></ul> 
Paramount is an equal opportunity employer (EOE) including disability/vet. 
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</div>

Principal Machine Learning Engineer, Content Engineering

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 
 
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 
 
 
 The Role
 
 
 
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 
 
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <ul>
 <li>
 Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
 </li>
 <li>
 Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
 </li>
 <li>
 Own the full lifecycle: build, deploy, monitor, and iterate
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <ul>
 <li>
 Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
 </li>
 <li>
 Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
 </li>
 <li>
 Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <ul>
 <li>
 Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
 </li>
 <li>
 Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
 </li>
 <li>
 Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <ul>
 <li>
 Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
 </li>
 <li>
 Vibe code: move fast, prototype rapidly, validate with real users, and iterate
 </li>
 <li>
 Maintain clean, well-documented codebases so that automations and tools can be extended over time
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <ul>
 <li>
 Build lead enrichment, CRM hygiene, and outbound personalization workflows
 </li>
 <li>
 Create content generation and repurposing pipelines for the marketing team
 </li>
 <li>
 Develop internal tools that give the Sales team faster access to prospect and market data
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
 </li>
 <li>
 Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
 </li>
 <li>
 Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
 </li>
 <li>
 Experience building multi-step AI workflows or agent-based systems
 </li>
 <li>
 Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
 </li>
 <li>
 Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
 </li>
 <li>
 Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
 </li>
 <li>
 Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
 </li>
 <li>
 Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
 </li>
 <li>
 Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
 </li>
 <li>
 Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
 </li>
 <li>
 Understanding of global payroll compliance, tax regulations, or labor laws
 
 
 </li>
 </ul>
 
 How We Will Measure Success
 
 
 
 <ul>
 <li>
 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
 </li>
 <li>
 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
 </li>
 <li>
 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
 
 
 </li>
 </ul>
 
 Why Join Niural
 
 
 
 <ul>
 <li>
 You will build systems that directly impact how a global fintech platform operates and scales
 </li>
 <li>
 You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
 </li>
 <li>
 You will ship constantly and see your work used by real people every day
 </li>
 <li>
 You are joining a team that values speed, ownership, and ambition over process and perfection
 
 
 </li>
 </ul>
</div>

AI Product Operator - Intern

Phamily

<div>Location: In-Office, NYC or Chicago

Job Type: Full-time, Summer Internship

Pay: $25-$35 / hour 
<h3 class="jobSectionHeader">
About Jaan Health/Phamily</h3>

Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients.

Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com.
<h3 class="jobSectionHeader">
Job/Role Description: 
 
 
</h3>We are seeking two AI Native Process Automation Interns who are mission-driven, and desire to be a part of an AI-enabled healthcare services company at a fast growth rate. The ideal candidate has proactively taken time in school independent of coursework to learn and experiment with Claude Code, OpenClaw, and other AI-powered &quot;vibe coding&quot; platforms to automate workflows and improve operational efficiency.
Successful Interns will demonstrate a strong growth mindset, balancing strategic thinking with hands-on execution. They should be comfortable navigating ambiguity, learning quickly, and identifying practical ways AI can streamline and optimize business operations.

This role will partner cross-functionally across multiple departments to support the identification, design, and implementation of automation opportunities for high-volume operational processes &mdash; beginning with foundational workflows such as travel coordination and scheduling, and expanding into broader operational and process optimization initiatives as the internship progresses.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>An ideal candidate will have systematic methodology to define and solve problems.
</li><li>Ability to mirror software engineers in being comfortable to learn quickly, navigating ambiguity, and using technology to create practical solutions.</li>
<li>Ability to take one process and automate or streamline it using AI.</li>
<li>Support the design, testing, and optimization of AI-enabled workflows and business process automations across operational and corporate functions</li>
<li>Partner cross-functionally with: Operations, Product, HR, Clinical, and leadership teams to identify repetitive workflows and opportunities for automation and efficiency gains</li>
<li>Assist in evaluating and implementing AI tools, automation platforms, and workflow solutions to improve scalability, accuracy, and productivity</li>
<li>Conduct research on emerging AI technologies, automation trends, and best practices relevant to healthcare operations and business functions</li>
<li>Document current-state processes and help design future-state AI-native workflows and operational playbooks</li>
<li>Analyze workflow performance metrics, identify bottlenecks, and recommend process improvements using data-driven insights</li>
<li>Build and maintain process maps, SOPs, trackers, dashboards, and automation documentation to support operational consistency and knowledge sharing</li>
<li>Support implementation and change management efforts for new AI-enabled processes, systems, and tools</li>
<li>Collaborate with stakeholders to gather requirements, test automation workflows, and ensure solutions align with business and user needs</li>
<li>Assist with prompt engineering, workflow experimentation, and optimization using AI tools such as ChatGPT, Claude, Gemini, or other automation platforms</li>
<li>Contribute to a culture of continuous improvement, innovation, and operational excellence within a fast-paced healthcare technology environment</li>
</ul><h3 class="jobSectionHeader">Requirements:
</h3><ul><li>Must be currently enrolled in or pursuing a Bachelor's or Master's Degree at an accredited University or College (Full-Time or Part-Time)</li>
</ul><ul><li>Experience in Claude Code, OpenClaw, and other AI-powered &quot;vibe coding&quot; platforms to automate workflows and improve operational efficiency.
</li><li>Interest in healthcare, AI, or technology-driven business</li>
<li>Ability to thrive in a fast-paced, ambiguous environment</li>
<li>Strong analytical, organizational, and problem-solving skills</li>
<li>Demonstrated leadership, initiative, and collaboration skills</li>
<li>Excellent written and verbal communication abilities</li>
</ul>
Preferred:
<ul>
<li>Mission-Oriented: An ideal candidate will start the internship understanding what the mission of our company is and really connect to that as it will drive the quality and urgency of the work.</li>
<li>Builders &amp; experimenters: A candidate that has thought through a systematic methodology to define problems and then solve them.</li>
Culture-Oriented. Someone who understands the balance between autonomy in solving problems, and mentorship in defining the problem and soundboards on the approach to go after it. 
<li>
 
 
</li></ul>Work style &amp; logistics:

We are a fast-growing, early-stage company with a bold mission and significant work ahead; every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset.

You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results.

Our culture is built on five principles that shape how we work, lead, and grow:
<ul>
<li>Care: We put patients, clients, teammates, and outcomes first.</li>
<li>Curiosity: We ask better questions, challenge assumptions, and keep learning.</li>
<li>Clarity: We simplify complexity, communicate directly, and create alignment.</li>
<li>Co-Creation: We collaborate across teams, perspectives, and disciplines.</li>
<li>Craftsmanship: We execute with excellence, ownership, and continuous improvement.</li>
</ul>
Our Compensation &amp; Benefits
<ul>
<li>Competitive compensation based on experience and impact</li>
<li>Comprehensive medical, dental, and vision coverage for employees and dependents at a low cost</li>
<li>Generous Paid Time Off: up to 35 paid days off each year so you can recharge, recover, and give back, including:</li>
<li><ul><li>12 vacation days accrued annually for rest, travel, and personal time</li>
<li>Up to 9 sick/wellness days to prioritize your health and well-being</li>
<li>12 paid company holidays throughout the year</li>
<li>2 paid give-back days</li>
</ul></li><li>HSA and FSA account options</li>
<li>401(k) with company match after 6 months of full-time employment</li>
<li><ul><li>100% match on the first 3% contributed, and 50% match on the next 2% contributed</li>
</ul></li><li>A collaborative, mission-driven team helping transform healthcare at scale</li></ul> 


If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare. 
<h3 class="jobSectionHeader">
Equal Employment Opportunity [DOES NOT CHANGE]</h3>

Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.</div>

Intern: AI Native Process Automation

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

Andiamo

<div>
 Senior Technical Recruiter
 
 
 
 About Us
 
 
 
 We are building the infrastructure layer for modern AI. Our cloud platform enables companies to train, deploy, and run large scale AI models faster, more efficiently, and at massive scale.
 
 
 With more than $200M in funding and rapid customer adoption, we are helping define the next generation of AI infrastructure. Our platform powers teams building advanced machine learning systems across industries ranging from autonomous systems to enterprise software.
 
 
 We are growing quickly and assembling a world class team of engineers, researchers, and builders who are passionate about pushing technology forward.
 
 
 
 About The Role
 
 
 
 We are looking for an exceptional Senior Technical Recruiter to help build the teams powering our next phase of growth.
 
 
 You will own full cycle recruiting for highly technical roles across engineering, infrastructure, and machine learning. You will partner closely with hiring managers and engineering leadership while driving sourcing strategies that consistently attract elite technical talent.
 
 
 This role requires someone who thrives in competitive markets, builds strong relationships with passive candidates, and takes pride in delivering exceptional candidate experiences.
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Own full cycle recruiting for technical roles including distributed systems engineering, machine learning infrastructure, platform engineering, and related disciplines.
 </li>
 <li>
 Develop and execute sourcing strategies to engage highly sought after technical candidates through outbound sourcing, research, referrals, and network development.
 </li>
 <li>
 Partner closely with engineering leaders and hiring managers to deeply understand team needs and role requirements.
 </li>
 <li>
 Screen and evaluate candidates while maintaining a high technical bar and strong candidate experience.
 </li>
 <li>
 Manage and nurture relationships with senior level and passive candidates across the AI and infrastructure ecosystem.
 </li>
 <li>
 Drive efficient hiring processes from initial outreach through offer negotiation and closing.
 </li>
 <li>
 Help refine and improve recruiting processes as the company continues to scale.
 
 
 </li>
 </ul>
 What Makes You Successful In This Role
 
 
 <ul>
 <li>
 5 or more years of full cycle recruiting experience with a strong focus on technical hiring.
 </li>
 <li>
 Experience recruiting engineers in areas such as distributed systems, infrastructure, machine learning, or AI platforms.
 </li>
 <li>
 Track record of sourcing and closing highly competitive technical candidates.
 </li>
 <li>
 Ability to understand complex technical roles and communicate credibly with engineering leaders.
 </li>
 <li>
 Strong relationship builder who develops trust with candidates and hiring managers.
 </li>
 <li>
 Highly organized with strong prioritization and execution skills in fast moving environments.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 We offer competitive compensation including base salary and equity. Benefits include health coverage, flexible vacation, retirement plans, and additional perks that support employee wellbeing and growth.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Talent Acquisition Specialist

Explore 359+ Machine learning intern in New York this May. Find roles across top companies and apply now to boost your career.