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machine learning, software engineer Jobs in Boston

machine learning, software engineer

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machine learning software engineer

REsurety

<div><h4 class="jobSectionHeader"><b>Position Overview</b></h4><p>
As a Machine Learning Software Engineer at REsurety, you&rsquo;ll be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power REsurety&rsquo;s core business. At the Staff level, you are an expert practitioner and a strategic thinker. You will lead the development of sophisticated software that characterizes risk and accelerates the global development of clean energy, serving as a bridge between research, power markets, and production-grade engineering.</p><p></p><p><br>
This is a senior individual contributor role focused on technical leadership, system design, and cross-functional influence, not people management.</p><p></p><h6 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h6><ul><li>
Technical &amp; Architectural Leadership</li><li><div><ul><li>
Own the end-to-end design and implementation of large-scale data and modeling applications, from ingestion and storage through modeling, validation, and production deployment.</li><li>
Design systems that are modular, testable, and performant at scale, setting standards for code quality, security, and reliability across the organization.</li><li>
Lead schema and data-model design in Snowflake and Postgres to support massive, evolving meteorological and power market datasets.</li><li>
Establish and advocate for best practices in automated testing (unit, integration, data validation) for analytical and modeling workflows.</li><li>
Advanced Time-Series Modeling &amp; Research</li></ul></div></li><li>
Drive the development and evolution of time-series forecasting models in Python for energy prices, emissions, and load.</li><li><div><ul><li>
Lead the evaluation, validation, and integration of new and complex data sources into production modeling systems.</li><li>
Partner with research, power markets, product, and engineering to translate exploratory analyses into robust, production-ready systems.</li><li>
Conduct deep-dive analyses into complex datasets (e.g., transmission constraints, solar irradiance, weather-driven dynamics) to surface market insights and modeling improvements.</li></ul></div></li><li>
Technical Mentorship &amp; Influence</li><li><div><ul><li>
Provide technical mentorship and design guidance to senior and mid-level engineers, raising the overall quality bar without direct people management.</li><li>
Act as a Subject Matter Expert (SME) for clean energy project characterization and power market dynamics.</li><li>
Act as a go-to technical authority for modeling architecture, data quality, and system-level tradeoffs.</li><li>
Clearly communicate complex technical concepts, assumptions, and validation results to internal stakeholders and external customers.</li></ul></div></li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Required Experience &amp; Qualifications</b></h6><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field.</li><li>
10+ years of professional experience designing and operating data-intensive software systems in production environments.</li><li>
Expert-level proficiency in Python (including Pandas/NumPy) and SQL.</li><li>
Significant experience with time-series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Statsmodels, Scikit-learn, TensorFlow, or PyTorch).</li><li>
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including containerized workloads (Docker/ECS) and Infrastructure-as-Code (e.g., Terraform).</li><li>
Proven ability to lead technical initiatives across teams, making architectural decisions that balance correctness, performance, and maintainability.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h6><ul><li>
Domain expertise in clean energy, power markets, or energy analytics; experience in finance, offtake structures, or hedging is a strong plus.</li><li>
Experience building or supporting power flow or least-cost optimization models.</li><li>
Prior experience operating at a Staff or Principal level, leading cross-functional technical strategy and initiatives.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Details</b></h6><ul><li>
Location: Boston, MA</li><li>
Our organization works on a hybrid model. We are in the office on Mondays, Tuesdays, and Thursdays at our downtown Boston building, and remote work is optional on Wednesdays and Fridays.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Compensation and Benefits</b></h6><ul><li>
The base compensation range for this position is $146,400 to $211,600. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.</li><li><b>
Benefits information can be found on our Careers page: </b><b>https://resurety.com/about/careers/</b></li></ul><h4 class="jobSectionHeader"><b><br>
About REsurety</b></h4><h6 class="jobSectionHeader"><b>
Company Overview</b></h6><p>
REsurety is the leading provider of data, software, and services to the clean energy economy and operates the only transactional marketplace for clean power. Trusted by the industry&rsquo;s leading buyers, sellers, and investors, REsurety&rsquo;s proprietary data models, powerful technology platforms, and deep domain expertise empower confident, impactful decision-making and efficient, effective portfolio management.</p><p></p><p><br>
We are a small team with a big impact! Our culture is open and collaborative. We expect excellence from our team members and reward it with high ownership and flexibility. If you&rsquo;re a high-achiever with a passion for clean energy, we want to hear from you.</p><h6 class="jobSectionHeader"><b>
Company Values and Principles</b></h6><p>
At REsurety, we value the skills of execution, creativity &amp; ownership, commercial focus, and teamwork, and we help and encourage all team members to develop these skills while at REsurety.</p><p></p><p><br>
Our values also shape our culture and act as the foundation for our principles. Like all great companies, we strive to hire the best and are committed to building a diverse, inclusive company where team members feel engaged, valued, and supported. What is special about REsurety, though, is how much we:</p><ul><li>
Share information openly, broadly, and deliberately with each other;</li><li>
Encourage ownership by all team members;</li><li>
Provide continuous, constructive feedback; and</li><li>
Empower all team members to bring their full, authentic selves to work.</li></ul></div>

Machine Learning, Software 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

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

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

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>
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Summer 2026 Intern- Software Engineer

Snyk

<div>
 Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities &mdash; from code and dependencies to containers and cloud.
 <br/>
 <br/>
 Our mission is to empower every developer to innovate securely in the AI era &mdash; boosting productivity while reducing business risk. We&rsquo;re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
 <br/>
 <br/>
 It&rsquo;s how we stay driven, supportive, and always one step ahead as AI reshapes our world.
 <br/>
 <br/>
 <strong>
  Why this role?
  <br/>
  <br/>
 </strong>
 As a Software Engineer, you&rsquo;ll play a key role in shaping how modern organizations build and secure software at scale. You&rsquo;ll join a collaborative, forward-thinking team and help drive our mission to embed security into every part of the AI-native development lifecycle. You will be at the forefront of building the future of application security, challenged to create high-performance, reliable, and scalable services. Your work will directly impact the success of our cutting-edge features and the security of millions of developers worldwide.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the analysis, design, and implementation of high-quality, scalable solutions and services.
  </li>
  <li>
   Build systems with the long-term in mind, focusing on robust design, comprehensive testing, and sustainability at cost and scale.
  </li>
  <li>
   Own technical decisions throughout the process, working directly with cross-functional technical and non-technical teams.
  </li>
  <li>
   Resolve critical bugs and customer support escalations to ensure a highly reliable product experience for our global user base.
  </li>
  <li>
   Collaborate actively with the engineering team, providing and receiving thoughtful feedback through rigorous code reviews.
  </li>
  <li>
   Master existing large-scale services while developing new, cutting-edge product features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You bring at least 3 years of commercial experience as a Software Engineer.
  </li>
  <li>
   Strong experience in software systems design and familiarity with foundational computer science concepts (algorithms, complexity, data structures).
  </li>
  <li>
   Proficiency in at least one of our core programming languages: Go, TypeScript, or Python.
  </li>
  <li>
   Experience in building highly reliable, scalable microservice back-ends, web UIs, CLIs, or infrastructure automation tools.
  </li>
  <li>
   Demonstrable skill in effective software testing and a strong commitment to code quality.
  </li>
  <li>
   Ability to deal with ambiguity and respond with agility when requirements and priorities change.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;d Be Awesome If You Also&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have hands-on experience with AI/LLMs or modern security tooling.
  </li>
  <li>
   Are curious, have a strong growth mindset, and proactively seek to improve existing skills.
  </li>
  <li>
   Feed off complex technical problems and find solutions where others see roadblocks.
  </li>
  <li>
   Contribute to open-source or developer communities.
  </li>
  <li>
   Can build presentations that keep
   <br/>
   <br/>
  </li>
 </ul>
 Annual Base Salary Range: $130,000 &ndash; $160,000 USD
 <br/>
 <br/>
 Snyk is committed to equal pay for equal work and carefully considers a wide range of compensation factors. Actual compensation may vary based on prior experience, skills, location, internal equity, and other job-related factors. Depending on role eligibility, your offer may also include bonus/commission and/or equity incentive awards. Our Total Rewards program includes, but is not limited to, a 401(k) retirement plan, paid time off, and health, dental, and vision insurance.
 <br/>
 <br/>
 <em>
  We care deeply about the warm, inclusive environment we&rsquo;ve created and we value diversity &ndash; we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you&rsquo;re the right person, do apply anyway!
  <br/>
  <br/>
 </em>
 <strong>
  About Snyk
  <br/>
  <br/>
 </strong>
 Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.
 <br/>
 <br/>
 <strong>
  Benefits &amp; Programs
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.
  </li>
  <li>
   Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
  </li>
  <li>
   Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
  </li>
  <li>
   Health benefits, employee assistance plans, and annual wellness allowance
  </li>
  <li>
   Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
   <br/>
   <br/>
  </li>
 </ul>
</div>


Software Engineer

McKinsey & Company

<p></p><div><div><div><p>Job ID: 106488</p>
<div><div><li>Boston</li><li>Chicago</li><li>New York City</li><li>San Francisco</li><li>Silicon Valley</li>
</div><div>+ 1 More</div></div><p></p><div><br>
</div></div><div><br>
<br>
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div><p>YOUR IMPACT</p>
<div><p>Come and work with our Firm&rsquo;s top technical minds on a product team developing an AI Platform that will enable next-generation client services. Be at the forefront of developing this exciting technology for our Firm.</p><p></p><p>
You will work with a cross-functional team that includes senior firm leaders, CST leaders, practice leaders and cutting-edge engineers. The team is led by some of our Firm&rsquo;s most senior leaders, including Asutosh Padhi, Brian Elliott, and Klemens Hjartar and is scaling to a large team of full-stack engineers, data engineers, data scientists, and designers.</p><p></p><p>
This role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.</p><p></p><p>
We are looking for a Data Engineer with expertise in Python development, including data workflows, knowledge graphs, and/or generative AI.You would be working closely with software engineers, data scientists, UI/UX designers, and other technologists.</p><p></p><p>
Your work would include but won't be limited to creation of the python code, tests, creation and modification of CI/CD pipelines, working with multiple cloud infrastructures (AWS, Azure, GCP) and docker containers.</p><p></p><p>
You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with multiple cloud infrastructures and docker containers.</p></div><p></p>
</div></div><div><div><p>YOUR GROWTH</p>
<p>Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div><p>YOUR QUALIFICATIONS AND SKILLS</p>
<div><ul><li>US Citizenship required</li><li>
Defense experience and experience working with data at various classification levels required</li><li>
SECRET Security Clearance Required; TS+ clearance preferred</li><li>
3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services; other clouds (Azure, GCP) a plus</li><li>
Previous enterprise platform experience preferred</li><li>
Significant previous experience with Neo4j and strong understanding of knowledge graphs, as well as strong experience with relational databases</li><li>
Practicing high coding standards with clean code, modularity, error handling, testing automation and more</li><li>
Hands-on experience with Docker</li><li>
Solid and demonstrable background in data pipeline performance and diagnostics</li><li>
Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges</li><li>
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment</li></ul></div></div></div></div></div><p></p>

Platform Data Engineer – US Defense / Public Sector

Explore 104+ Machine learning software engineer in Boston this March. Find roles across top companies and apply now to boost your career.