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principal machine learning engineer

ml ai engineering intern

Bain & Company

<div><p><b>What Makes Us A Great Place To Work</b></p><p>
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p><p></p><p><b><br>
About Bain AI, Insights &amp; Solutions (AIS)</b></p><p>
Bain&rsquo;s AI, Insights &amp; Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You&rsquo;ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.</p><p></p><p><b><br>
The Impact You&rsquo;ll Have</b></p><p>
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.</p><p></p><p><br>
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.</p><p></p><p><b><br>
The Role</b></p><p>
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.</p><p></p><p><br>
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p><p></p><p><br>
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.</p><p></p><p><br>
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Build AI applications that drive real business outcomes</b></p><ul><li>
Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li><li>
Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li><li>
Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li></ul><p><b>
Build and apply data science and machine learning capabilities</b></p><ul><li>
Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li><li>
Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li><li>
Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li></ul><p><b>
Engineer for real delivery: POC MVP production</b></p>
Write clean, testable, maintainable code and ship AI services through the full SDLC: build test deploy monitor<ul><li> iterate.</li><li>
Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li><li>
Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li><li>
Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li><li>
Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li></ul><p><b>
Thrive in a consulting environment</b></p><ul><li>
Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li><li>
Support client discussions, demos, and documentation development as part of broader engagement teams.</li></ul><p><b>
What We&rsquo;re Looking For (Qualifications)</b></p><p><b>
Educational background</b></p><ul><li>
Currently pursuing or recently completed a bachelor&rsquo;s, master&rsquo;s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li><li>
Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li></ul><p><b>
Core engineering + AI application skills</b></p><ul><li>
0&ndash;2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li><li>
Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li><li>
Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li><li>
Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li><li>
Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li><li>
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li></ul><p></p><p><b><br>
Breadth of knowledge across data science and machine learning</b></p><ul><li>
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li><li>
Practical experience with feature engineering and data preprocessing.</li><li>
Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li></ul><p><b>
Delivery mindset and consulting skills</b></p><ul><li>
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li><li>
Interest in applying AI to solve real-world business problems in a client-facing environment.</li></ul><p></p><p><b><br>
Working Model &amp; Travel</b></p><ul><li>
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li><li>
Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li></ul><p><b>
U.S. Compensation Information</b></p><p>
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.</p><p>
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
</p><ul><li>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li><li>
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul><p></p><p><i><br>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></p></div>

ML-AI Engineering Intern

Wiser Solutions

<div><b>Company Description</b><p><br>
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally.</p><b><br>
Job Description</b><p><b><br>
LOCATION</b>: This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.</p><p><b><i>
ABOUT THE ROLE</i></b></p><p>
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.</p><p>
You will be the technical authority for AI at Wiser: defining architectural direction, representing our capabilities to customers and partners, and delivering production systems that drive measurable business outcomes. This role requires someone who operates fluidly between strategic planning and hands-on implementation, who can present to executives and debug production pipelines in the same week.</p><p>
We're building an AI-native engineering culture at Wiser, one where AI tools and techniques are woven into how we work, not just what we build. We need a Principal AI Engineer who doesn't just deliver AI products but models AI-augmented ways of working and helps the broader engineering organization adopt them. If you believe AI is fundamentally transforming software development and you're already living that transformation daily, we want to talk.</p><p><b><i>
What You Will Do</i></b></p><p><b>
Strategic Leadership</b></p><ul><li>
Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership</li><li>
Represent Wiser's AI capabilities to customers, partners, and advisors&mdash;articulating our approach, roadmap, and differentiation</li><li>
Identify high-impact opportunities where AI can solve customer problems or create competitive advantage</li><li>
Establish technical standards, patterns, and best practices that influence engineering decisions across the organization</li></ul><p><b>
Technical Execution</b></p><ul><li>
Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models</li><li>
Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results</li><li>
Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques</li><li>
Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability</li></ul><p><b>
Cross-Functional Impact</b></p><ul><li>
Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs</li><li>
Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer</li><li>
Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture</li><li>
Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling</li><li>
Champion AI-native development practices across Wiser engineering&mdash;demonstrating how AI tools accelerate development, improve code quality, and change what's possible</li><li>
Help build an engineering culture where AI augmentation is the default, not the exception</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership</li><li>
Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)</li><li>
Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)</li><li>
Strong software engineering fundamentals: you write production-quality code, not just notebooks</li><li>
Track record of organization-wide technical influence&mdash;setting standards, driving architectural decisions, mentoring engineers</li><li>
Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives</li><li>
Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction</li><li>
Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built</li></ul><p><b>
Technical Depth Expected:</b></p><ul><li>
NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval</li><li>
LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods</li><li>
Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets</li><li>
MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability</li><li>
Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience with transformer architectures, fine-tuning, or training custom models</li><li>
Background in retail, e-commerce, or product data domains</li><li>
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases</li><li>
Track record of introducing AI-augmented workflows to teams or organizations</li><li>
Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes</li></ul><p><b><i>
What Success Looks Like</i></b></p><p><b>
First 90 Days:</b> Deep understanding of Wiser's data assets, current AI capabilities, and customer use cases. Identified 2-3 high-impact technical opportunities. Established credibility with the team through hands-on contribution and technical guidance.</p><p><b>
First 6 Months:</b> Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.</p><p><b><i>
Supervisory Responsibility</i></b>: None</p><b><br>
Additional Information</b><p><b><br>
Other Duties</b></p><p>
This position may require being on call rotation to address critical production application issues outside of normal working hours.</p><p>
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p><p><b>
EEO STATEMENT</b> - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.</p><p>
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be USD$155,000 to $170,000<b>,</b> at the time of this posting.</p><p>
Performance-based discretionary bonuses and variable pay plans are available for some positions.</p><p>
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. &quot;</p><p>
#LI-Remote</p></div>

Principal Machine Learning Engineer

Pragmatike

<div>
 <strong>
  Location:
 </strong>
 Cambridge, MA (Eastern Time / UTC -4)
 <strong>
  Relocation package available
  <br/>
  <br/>
 </strong>
 <strong>
  Start date:
 </strong>
 ASAP
 <br/>
 <br/>
 <strong>
  Languages:
 </strong>
 English (required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Pragmatike is hiring on behalf of a
 <strong>
  fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital
 </strong>
 , founded by MIT CSAIL researchers.
 <br/>
 <br/>
 We are seeking a
 <strong>
  Staff / Principal ML Ops Engineer
 </strong>
 to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
 <br/>
 <br/>
 You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are
 <strong>
  robust, efficient, automated, and production-grade
 </strong>
 . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
 <br/>
 <br/>
 <strong>
  What Youll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
  </li>
  <li>
   Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
  </li>
  <li>
   Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
  </li>
  <li>
   Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
  </li>
  <li>
   Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
  </li>
  <li>
   Collaborate with researchers to productionize models and accelerate training/inference pipelines.
  </li>
  <li>
   Establish ML Ops best practices, internal standards, and cross-team tooling.
  </li>
  <li>
   Mentor engineers and influence architectural direction across the entire AI platform.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Were Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
  </li>
  <li>
   Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
  </li>
  <li>
   Proficiency with Python and familiarity with TypeScript or Go for platform integration.
  </li>
  <li>
   Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
  </li>
  <li>
   Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
  </li>
  <li>
   Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.
  </li>
  <li>
   Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience deploying and operating LLMs and generative models in production at enterprise scale.
  </li>
  <li>
   Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
  </li>
  <li>
   Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
  </li>
  <li>
   Prior startup experience or comfort operating with ambiguity and high ownership.
  </li>
  <li>
   Experience working with data engineering, feature pipelines, or real-time ML systems.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Will Pivot Your Career
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  </li>
  <li>
   Customer impact: Deploy AI solutions powering Fortune 500 clients.
  </li>
  <li>
   Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).
  </li>
  <li>
   Funding &amp; growth: Oversubscribed seed round, next funding in 2026.
  </li>
  <li>
   Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  </li>
  <li>
   Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.
  </li>
  <li>
   Aspirational impact: Solve AI performance challenges few engineers ever face.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary &amp; equity options
  </li>
  <li>
   Sign-on bonus
  </li>
  <li>
   Health, Dental, and Vision
  </li>
  <li>
   401k
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Pragmatike
  </em>
 </strong>
 <em>
  is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 </em>
</div>


Principal AI/ML Engineer

QuEra Computing

<div><p><b>Summary</b></p>
<p>
QuEra Computing is seeking a mission-driven Quantum Scientist focused on designing and delivering specialized content for community engagement, customer training, and AI-enabled learning experiences. You'll use your expertise in quantum information, machine learning, and modern AI systems to create learning pathways that bridge users to the latest outcomes in quantum computing research &ndash; particularly that by QuEra's team &ndash; via our Bloqade software suite and our current and upcoming neutral-atom hardware.</p>
<p>
In addition to building world-class educational content, you will help integrate AI agents, ML-driven analytics, and scalable infrastructure into our enablement ecosystem&mdash;enhancing user onboarding, experimentation workflows, and community engagement.</p>
<p>
Deliverables include lessons, tutorials, notebooks, AI-assisted labs, hackathon challenges, interactive agents, and technical presentations tailored to users across academia, national labs, and industry.</p>
<p>
Some travel may be required for workshops, conferences, and hackathons.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design, author, and maintain structured, hands-on learning materials (courses, tutorials, notebooks, problem sets, quizzes, and challenge tracks) aligned with neutral-atom quantum computing capabilities.</li>
<li>Develop AI-enhanced learning tools, including intelligent tutoring workflows, agent-assisted coding labs, and automated feedback systems.</li>
<li>Build and deploy lightweight ML or AI agent systems that support user onboarding, documentation navigation, experiment configuration, or workflow optimization.</li>
<li>Produce clear, accurate technical presentations and demos for customers, partners, conferences, and hackathons; deliver live and online instruction.</li>
<li>Closely collaborate with the applications research, product and solutions teams to ensure content reflects the latest algorithms, applications, APIs, and hardware constraints.</li>
<li>Translate new R&amp;D into learner pathways; define objectives and assessments; use learner data, ML-driven insights, and feedback to iterate and improve.</li>
<li>Contribute to scalable infrastructure for educational environments (cloud-based notebooks, APIs, model endpoints, experiment orchestration systems).</li>
<li>Drive customer/partner enablement and community programs (hackathons, forums, workshops) and expand documentation to lower adoption barriers.</li>
<li>Explore and prototype AI agents that assist users in quantum program synthesis, parameter optimization, debugging, or workflow automation.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>Advanced experience in Physics, Computer Science, Electrical Engineering, Machine Learning, or a related field (PhD preferred; MSc/BSc with equivalent experience considered).</li>
<li>Strong foundation in quantum information/science, spanning algorithmic building blocks, software tooling, data analysis, and hardware limitations.</li>
<li>Experience using machine learning systems, AI agents, LLM-based tooling, or intelligent automation frameworks.</li>
<li>Familiarity with modern ML/AI infrastructure (e.g., model APIs, vector databases, agent orchestration frameworks, cloud deployment, experiment tracking).</li>
<li>Experience creating technical education materials or teaching (tutorials, workshops, developer content), with demonstrated interest in research-informed pedagogy.</li>
<li>Excellent written and verbal communication skills; ability to explain complex topics to diverse technical audiences.</li>
<li>Collaborative mindset and the discipline to independently deliver high-quality technical and educational artifacts.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience with Bloqade or other QIS tooling for scientific computing.</li>
<li>Familiarity with neutral-atom quantum computing platforms.</li>
<li>Experience applying ML techniques and agents to scientific and quantum computing, particularly in the context of education.</li>
<li>Experience building or deploying AI agents (e.g., retrieval-augmented systems, code assistants, orchestration frameworks).</li>
<li>Experience with MLOps, infrastructure-as-code, containerization, or cloud-based notebook environments.</li>
<li>Track record presenting at conferences, running hackathons, or building developer communities.</li>
<li>Comfort using data analytics and ML methods to evaluate learning outcomes and improve curricula.</li>
</ul>
<p>The approximate base salary range for this position is $130,400 - $211,900.</p>
<p>
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.</p>
<p>
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.</p>
<p>
#LI-NB1</p></div>

Quantum Scientist – Community, AI & Learning Systems

Rapid7

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer &ndash; AI Centre of Excellence</b></h1><p></p><p>
We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7&rsquo;s AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account.</p><p></p><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers&rsquo; attack surfaces. For example, we partner closely with Rapid7&rsquo;s Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection.</p><p>
We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you&rsquo;re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques&mdash;conventional machine learning, deep learning neural networks, or generative and agentic AI.</p><p>
You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you&rsquo;ll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further.</p><p>
You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7&rsquo;s AI innovation.</p><p></p><h2 class="jobSectionHeader"><b>
In This Role, You Will:</b></h2><ul>
<li><p>
Develop and ship AI systems with a focus on delivering customer value.</p></li>
<li><p>
Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives.</p></li>
<li><p>
Take ownership of multiple projects as the principal go-to expert.</p></li>
<li><p>
Act as a first-class stakeholder throughout the AI R&amp;D process.</p></li>
<li><p>
Build strong cross-functional relationships with engineering, UX, product management, and customer research teams.</p></li>
<li><p>
Mentor colleagues with less experience, acting as a trusted technical resource.</p></li>
</ul><p></p><h2 class="jobSectionHeader"><b>
The Skills You&rsquo;ll Bring Include:</b></h2><p><b>
Technical Expertise</b></p><ul>
<li><p>
Significant hands-on experience in applied AI, able to independently design and build AI models and systems.</p></li>
<li>
<p>Strong Python skills and practical expertise with:</p>
<ul>
<li><p>scikit-learn for conventional ML and data science.</p></li>
<li><p>
PyTorch, TensorFlow, or Keras for deep learning.</p></li>
<li><p>
AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions.</p></li>
<li><p>
CrewAI (or similar frameworks) for agentic AI projects.</p></li>
<li><p>
Pandas/NumPy for data processing and transformation.</p></li>
</ul>
</li><li><p>Intuition for selecting the right models and approaches for different use cases.</p></li>
<li><p>
Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable.</p></li>
</ul><p></p><p><b>
Personal Attributes</b></p><ul>
<li><p>
Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges.</p></li>
<li><p>
Bias for action and delivery, balancing speed with care.</p></li>
<li><p>
Ability to thrive in a fast-paced environment, juggling multiple projects effectively.</p></li>
<li><p>
Natural leader and collaborator, helping peers grow as problem solvers and communicators.</p></li>
<li><p>
Curiosity and passion for continuous learning and self-development.</p></li>
<li><p>
Open-minded approach, valuing feedback and new ideas from colleagues.</p></li>
<li><p>
Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly.</p></li>
</ul><p></p><p>
#LI-WP1</p><p></p><h2 class="jobSectionHeader"><b>
About Rapid7</b></h2><p>
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what&rsquo;s possible and drive extraordinary impact. We&rsquo;re building a dynamic and collaborative workplace where new ideas are welcome.</p><p></p><p>
Protecting 11,000+ customers against bad actors and threats means we&rsquo;re continuing to push the envelope just like we&rsquo; ve been doing for the past 20 years. If you &rsquo;re ready to solve some of the toughest challenges in cybersecurity, we&rsquo;re ready to help you take command of your career. Join us.</p><p></p><p>
Rapid7, Inc. is committed to fair and equitable compensation practices. A candidate&rsquo;s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. We evaluate compensation decisions on a case-by-case basis, and it is not typical for an individual to be hired at the very top of the salary range.</p><p></p><p>
The salary range for this role in the US is:</p>
$236,500.00 - 320,000.00 USD Annual<p></p><p>
Salary ranges may vary based on geographical location. This range does not include variable/incentive compensation, equity and benefits (where applicable/eligible).</p><p></p><p><i>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.</i></p></div>

Principal AI Engineer

Vertex Pharmaceuticals

<div><p><b>Job Description
</b></p><p>We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
</p><p>As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
</p><p></p><p><b>Key Duties &amp; Responsibilities:
</b></p><ul><li><p><b>Platform Management </b>&ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</p></li></ul><ul><li><p><b>Design and Build </b>&ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</p></li></ul><ul><li><p><b>Reference Implementations </b>&ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</p></li></ul><ul><li><p><b>Delivery Management </b>&ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</p></li></ul><ul><li><p><b>Solution Packaging </b>&ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</p></li></ul><ul><li><p><b>Team Enablement </b>&ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</p></li></ul><ul><li><p><b>Technology Champion </b>&ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</p></li></ul><ul><li><p><b>Innovation Champion </b>&ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</p></li></ul><ul><li><p><b>Enablement Champion </b>&ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</p></li></ul><p></p><p><b>Knowledge and Skills:
</b></p><ul><li><p><b>Technical Expertise </b>&ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</p></li><li><p><b>Workflow Tools </b>&ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</p></li><li><p><b>Product and Solution Management </b>&ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</p></li></ul><ul><li><p><b>Project Management </b>&ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</p></li></ul><ul><li><p><b>Team Collaboration </b>&ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</p></li></ul><ul><li><p><b>Mentorship and Support </b>&ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</p></li></ul><ul><li><p><b>Adaptability and Problem-Solving </b>&ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</p></li></ul><ul><li><p><b>Communication Skills </b>&ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</p></li></ul><p></p><p><b>Education and Experience:
</b></p><ul><li><p>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</p></li><li><p>Strong experience working with AI/ML and GenAI products
</p></li></ul><ul><li><p>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</p></li><li><p>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</p></li></ul><p></p><p><b>Pay Range:
</b></p>$188,000 - $282,000
<p></p><p><b>Disclosure Statement:
</b></p><div><div><div><div><div><div><div><div><p>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
</p><p></p><p>At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</p></div></div></div></div></div></div></div></div><p></p><p><b>Company Information
</b></p><p>Vertex is a global biotechnology company that invests in scientific innovation.
</p><p></p><p>Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
</p><p></p><p>Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</p></div>

Senior Principal AI Platform Engineer, Data & AI Platform

Empower

<div><div>Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.</div><div>
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.</div><div>
Summer 2026 Intern &ndash; Software Engineer</div><div></div><div><div><div><div><div><div><div><div><div><div>
Location: Boston, MA (on-site &amp; in-person)</div><div>
Duration: 10 weeks from May 27, 2026 to July 31, 2026</div><div>
Schedule: Full-Time (40 hours/week)</div><div>
Compensation: $24.00 - $25.00 per hour (based on academic level)</div><div></div><div>
Empower is a leader in financial planning and retirement solutions, committed to helping people achieve financial freedom. We serve millions of individuals, employers, and advisors through personalized products, smart technology, and a people-first approach.</div><div></div><div>
Program Overview</div><div>
Empower&rsquo;s Summer Internship Program offers an immersive 10-week experience designed to develop rising professionals with an interest in financial services. Our interns thrive in a fast-paced, growth-oriented environment while gaining valuable insights into our business, culture, and mission.</div><div></div><div>
Each intern is paired with a dedicated manager, mentor, and executive sponsor, and will work on a meaningful summer project. This program includes:</div><ul><li><div>
Hands on-experience with real business initiatives</div></li><li><div>
Exposure to senior leadership and cross-functional teams</div></li><li><div>
Networking opportunities</div></li><li><div>
Professional and personal development workshops</div></li></ul><div></div><div>
At the conclusion of the internship, each intern presents their work to business leaders, showcasing the impact they&rsquo;ve made.</div><div></div><div>
This Software Engineer Intern will use next-gen tools and AI to improve code efficiency, documentation and tuning API's in Java/J2EE, Spring/Servlets/JSP, Web services (RESTful) and relational database in MYSQL/Oracle or PostgreSQL. The intern will prepare appropriate documentation and service catalog from systems that are supported and maintained.</div><div></div><div>
What you&rsquo;ll do</div><div>
As a Software Engineer Intern, you will:</div><ul><li><div>
Assist in designing and building small- to medium-sized development projects using both traditional coding tools and no-code/low-code platforms.</div></li><li><div>
Support front-end development tasks, contributing to UI components and learning modern frameworks and design practices.</div></li><li><div>
Work with mentors and project stakeholders to understand requirements and help translate them into simple, functional technical solutions.</div></li><li><div>
Participate in hands-on development activities, including configuring tools, testing features, documenting work, and preparing demos.</div></li><li><div>
Identify opportunities to streamline processes and propose improvements as you learn our systems and development approach.</div></li></ul><div></div><div>
Over the course of the 10-week internship, you will contribute to either a defined individual project and/or collaborative team initiatives. You are expected to deliver meaningful contributions and results, with ongoing support, guidance, and feedback from your team.</div><div></div><div>
What you bring</div><div>
We&rsquo;re seeking college students who demonstrate a balance of technical aptitude, professionalism, and curiosity. Ideal candidates will bring the following:</div><div></div><div>
Required Qualifications:</div><ul><li><div>
Currently enrolled in a college or university (Bachelor&rsquo;s or Master&rsquo;s program)</div></li><li><div>
Minimum cumulative GPA of 3.0</div></li><li><div>
Available for full 10-week program (May 27 &ndash; July 31, 2026)</div></li><li><div>
Must reside near or be able to reliably commute to Boston, MA (in-person internship)</div></li><li><div>
Hands-on experience with front-end software development tools in coursework or projects</div></li><li><div>
Experience with Microsoft Office Suite (Excel, Word, PowerPoint)</div></li><li><div>
Authorization to work in the U.S. without current or future visa sponsorship (CPT/OPT not supported)</div></li></ul><div></div><div>
Core Competencies:</div><ul><li><div>
Strong verbal and written communication skills</div></li><li><div>
Ability to work independently and within a collaborative team</div></li><li><div>
Critical thinking and problem-solving mindset</div></li><li><div>
Self-directed with a proactive approach to learning</div></li><li><div>
Professional curiosity and eagerness to explore new tools and ideas</div></li><li><div>
Demonstrated accountability and follow-through on individual or team-based goals</div></li></ul><div></div><div>
What will set you apart</div><ul><li><div>
At least 2 years of academic progress toward a bachelor&rsquo;s degree</div></li><li><div>
Expected to graduate and be available for full-time employment by mid-2027</div></li><li><div>
Preferred majors: Computer Science, Information Systems, Software Engineering, Data Analytics, or other relevant technical fields</div></li></ul><div></div><div>
Important notes</div><div>
Applications are reviewed on a rolling basis.</div><div>
High-performing interns may be considered for return offers or full-time opportunities post-graduation.</div><div></div><div>
***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***</div></div></div></div></div></div></div></div></div></div><div></div><div>
Base Salary Range</div>
$47,800.00 - $65,725.00<div></div><div>
The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.</div><div></div><div>
Equal opportunity employer <i>&bull;</i> Drug-free workplace</div><div></div><div>
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.</div><div></div><div>
***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***</div><div>
Job Posting End Date at 12:01 am on:</div>
03-10-2026<div></div><div>
Want the latest money news and views shaping how we live, work and play? Sign up for Empower&rsquo;s <div>free newsletter</div> and check out <div>The Currency</div>.</div></div>

Summer 2026 Intern- Software Engineer

Explore 97+ Ml ai engineering intern in Boston this March. Find roles across top companies and apply now to boost your career.