software engineer

senior lead data science engineer, personalization Jobs in Boston

senior lead data science engineer, personalization

senior machine learning engineer, generative ai products, hbs foundry Jobs in Boston

senior machine learning engineer, generative ai products, hbs foundry

software engineer (machine learning - llms) Jobs in Boston

software engineer (machine learning - llms)

software engineer, early career Jobs in Boston

software engineer, early career

software engineer machine learning llms

Lendbuzz

<div><div>At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we&rsquo;ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.<br>
</div><div></div><br>
<div>We are seeking a skilled and motivated <b>Software Engineer focused on Large Language Model (LLM) applications</b> to join our Machine Learning team. In this role, you will help design, build, and optimize next-generation conversational agent technologies. You will collaborate closely with ML researchers and product teams to ship high-impact features and own key components of our conversational AI stack. This position reports to the ML Research Scientist.</div><div></div><div><b><br>
This is a hybrid position based in Boston, MA and requires 3 days onsite.</b></div>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><ul><li>
Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience</li><li>
Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices</li><li>
Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic</li><li>
Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction</li><li>
Analyze model outputs, user interactions, and system performance to drive iterative improvements</li><li>
Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks</li><li>
Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle</li><li>
Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services</li><li>
Contribute to internal documentation, experimentation processes, and model evaluation frameworks</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Key Requirements:</b></h3><ul><li>
Master&rsquo;s degree in Artificial Intelligence, Computer Science, or a related technical field</li><li>
Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn)</li><li>
Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines</li><li>
Experience with NLP techniques, LLMs, or machine learning fundamentals</li><li>
Strong problem-solving ability and comfort working independently in a fast-moving environment</li><li>
Preferred: Experience deploying applications or models on cloud platforms, preferably AWS</li><li>
Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio</li></ul><div>
We believe:</div><div></div><div><b><br>
Diversity</b> <b>is a competitive advantage.</b> We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.</div><div></div><div><b><br>
Compassion</b> <b>is a strength.</b> We care about our customers and look to build long-term relationships with them.</div><div></div><div><b><br>
Simplicity</b> <b>is a key feature.</b> We work hard to make our forms and processes as painless and intuitive as possible.</div><div></div><div><b><br>
Honesty and transparency are non negotiable.</b> We incorporate these traits in all of our interactions.</div><div></div><div><b><br>
Financial opportunity belongs to everyone. </b>We work every day to improve lives by extending this opportunity.</div><div></div><div><br>
If you believe these things too then we would love to hear from you!</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Software Engineer (Machine Learning - LLMs)

{devlogic}

<div>
 <p>
  <strong>
   Software Engineer - (Full Stack)
  </strong>
 </p>
 <p>
  <strong>
   Boston, Massachusetts (Hybrid 2 days in Office)
  </strong>
 </p>
 <p>
  <strong>
   $130,000 - &pound;165,000
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  I&rsquo;m partnering with a stealth-mode startup working on an important problem in e-commerce. They&rsquo;re building AI-driven tools that spot and fix issues that can affect how customers use and experience online stores.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The product sits behind the scenes and quietly improves site quality without getting in the way.
 </p>
 <p>
  They&rsquo;re well-funded, have well-known brands already using the platform, and are now building out their core engineering team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a Full Stack Engineer to join the team in Boston.
 </p>
 <p>
  You&rsquo;ll work closely with the CTO and Founder on tough engineering problems, help shape new features, and play a big part in how the product evolves.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this role might interest you
  </strong>
 </p>
 <p>
  &bull; Real ownership and influence on product decisions.
 </p>
 <p>
  &bull; Proper deep engineering work with AI systems, not basic wrappers.
 </p>
 <p>
  &bull; Early team, strong backing, and fast-paced environment.
 </p>
 <p>
  &bull; A small group of people who care about clean engineering and doing things properly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You might be a good fit if you
  </strong>
 </p>
 <p>
  &bull; Have 3+ years as a full stack engineer.
 </p>
 <p>
  &bull; Are strong with TypeScript and React.
 </p>
 <p>
  &bull; Have solid CS fundamentals and enjoy solving tricky problems.
 </p>
 <p>
  &bull; Have played with LLMs or AI tools, even through side projects.
 </p>
</div>


Software Engineer

Sea Machines

<div><p>Sea Machines is a fast-growing startup specializing in autonomous technology for marine vessels. The world&rsquo;s oceans convey 90% of global commerce. We&rsquo;re applying practical A.I. and machine learning to disrupt the massive maritime transportation market. Our tech provides ships and workboats the intelligence to work remotely, increases safety for maritime crews, and radically improves operator productivity.</p><p><br>
We&rsquo;re recruiting for an experienced customer-facing, marine systems Field Application Engineer to join our team. The position will be based at our Boston, MA office. You&rsquo;ll travel to customer and dealer sites worldwide to coordinate Sea Machines product deployment and service on customer vessels. You have demonstrated aptitude with marine vessel controls, electronics and mechanical systems. You have solid experience installing and commissioning complex hardware/software products and have excellent communications skills. You&rsquo;re hands-on, innovative and passionate about new technology.</p><p><b><br>
Responsibilities</b></p><ul><li>
Coordinate installation and commissioning of Sea Machines products in customer marine vessels worldwide working with our dealer network.</li><li>
Monitor Sea Machines product performance in customer fleets.</li><li>
Respond to customer support inquiries and provide timely resolution of customer field issues.</li><li>
Maintain regular communications and reporting of any field issue to the operations and technology teams.</li><li>
Provide input to product documentation including installation, service and user manuals.</li><li>
Service test boat and office simulation equipment when required.</li></ul><p><b>
Requirements and Skills</b></p><ul><li>
7+ years of installation and service experience for complex hardware/software technology products</li><li>
A background in supporting marine systems, controls, PLCs and electronics is required to be successful in this role.</li><li>
Must be skilled in electrical troubleshooting and test equipment use.</li><li>
Foster a customer support culture based on execution, quality and responsiveness.</li><li>
Project professionalism, confidence and competence in communications and interactions with customers, partners, teams and management.</li><li>
Ability to work collaboratively across departmental functions.</li><li>
Significant travel is required for this position 25-50%</li><li>
Minimum of an Bachelor&rsquo;s degree in Engineering Technology, Marine Engineering, Operations or a related STEM discipline is required.</li></ul><p><b>
Desired Skills and Experience</b></p><ul><li>
Marine certifications or licenses are a plus.</li><li>
Linux experience, networking experience, coding experience are all helpful although not required.</li></ul><p>
</p><p>lhn7IesX5V</p></div>

Field Application Engineer

<div><div><b>What you&rsquo;ll need to succeed as a Senior Scientist, Data Science at XPO</b></div><div>
Minimum qualifications:</div><ul><li>
Bachelor&rsquo;s degree or equivalent related work or military experience</li><li>
2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization</li><li>
Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects</li><li>
Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning</li><li>
Strong communication skills with a knack for translating complex AI concepts into clear business insights</li></ul><div>
Preferred qualifications:</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline</li><li>
A Master&rsquo;s or PhD in Computer Science, AI, Data Science, or a related quantitative field</li><li>
years of hands-on experience in developing and deploying optimization solutions</li><li>
5+ years&rsquo; experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.</li><li>
Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue</li><li>
Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling</li><li>
Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience</li><li>
Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation</li><li>
Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods</li></ul><div></div><div><b><br>
About the Senior Scientist, Data Science job</b></div><div>
Pay, benefits and more:</div><ul><li>
Competitive compensation package</li><li>
Full health insurance benefits are available on day one</li><li>
Life and disability insurance</li><li>
Earn up to 15 days of PTO over your first year
</li><li>9 paid company holidays</li><li>
401(k) option with company match</li><li>
Education assistance</li><li>
Opportunity to participate in a company incentive plan</li></ul><div></div><div><br>
What you&rsquo;ll do on a typical day:</div><ul><li>
Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company</li><li>
Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions</li><li>
You will be a thought leader for the practice of Data Science and Analytics across the organization</li><li>
Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation</li><li>
Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations</li><li>
Communicate with technical and business-oriented audiences</li><li>
Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges</li><li>
Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance</li><li>
Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs</li><li>
Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO</li></ul><div></div><div><br>
Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.</div><p></p><p><b><br>
About XPO</b></p><p>
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you&rsquo;re looking for a growth opportunity, join us at XPO.</p><p></p><p><br>
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.</p><p></p><p><br>
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.</p><p></p><p><br>
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.</p></div><p></p>

Senior Scientist, Data Science - Hybrid

Harvard University

<div></div><div><div><div><div><div><div><b>November 26, 2025
</b></div></div><div><div><div><b>001890SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join HBS Foundry?</b></p><p>
HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We&rsquo;re a small, collaborative team within one of the world&rsquo;s most respected institutions&mdash;combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we&rsquo;re developing tools and experiences that empower founders to grow their ventures and their confidence. It&rsquo;s an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next.</p><p><br>
Job Description</p><p><b><br>
Job Summary:
</b></p><p>Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.<br>
<b>Job-Specific Responsibilities:</b></p><ul><li>
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems.</li><li>
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA.</li><li>
Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.</li><li>
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases</li><li>
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques</li><li>
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications</li><li>
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.</li><li>
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.</li><li>
Contribute to and promote good software engineering practices across the team.</li><li>
Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.</li><li>
Actively contribute to and re-use community best practices.</li><li>
Monitor, debug, track, and resolve production issues.</li></ul><ul><li>
Work with project managers to ensure that projects proceed on time and on budget.</li><li>
Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.</li><li>
Complete other responsibilities as assigned.</li></ul><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:
</b></p><ul><li>Minimum of seven years&rsquo; post-secondary education or relevant work experience</li></ul><p><b>
Additional Qualifications and Skills:
</b></p><ul><li>Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired</li><li>
Minimum of five years&rsquo; software development experience with Python and SQL.</li><li>
Minimum of three years&rsquo; experience building pipelines to deploy NLP and deep learning models into production in a cloud environment</li><li>
Minimum three years&rsquo; experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters</li><li>
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo</li><li>
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs</li><li>
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).</li><li>
Knowledge of data pipeline and workflow management tools.</li><li>
Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Appointment End Date: </b>This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/extension.</li><li><b>
Standard Hours/Schedule: </b>40 hours per week</li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position</li><li><b>
Pre-Employment Screening: </b>Identity, Education, Criminal</li><li><b>
Other Information:</b><ul><li>
This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday &ndash; Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>
As part of our evaluation, candidates are required to complete a <b>Take Home Assignment</b> after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>
A cover letter is required to be considered for this opportunity</li></ul></li></ul><div></div><p><b>
Work Format Details</b></p><p>
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on <b>Employment Outside of Massachusetts</b>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 059. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Senior Machine Learning Engineer, Generative AI Products, HBS Foundry

Franklin Fitch

<div>
 <p>
  <strong>
   Full Stack Software Developer | Hybrid, Boston | $110,000 - $150,000
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  One of Boston&rsquo;s leading professional services firms are looking to bring on board a Developer to join their team as they look to grow out their IT presence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role provides you with the perfect opportunity to work for a company who are growing out their IT presence and working with large data sets on a daily basis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work for a company who are investing heavily in their technology and have a lot of buy in from senior leadership to grow within technology. They are on a cloud journey in Azure and this role will also work closely with data science and machine learning teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key requirements for the role:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   4 years+ Development Experience
  </li>
  <li>
   Back-End - C#, .NET
  </li>
  <li>
   Front-End - HTML, CSS, JavaScript, Bootstrap, React, Angular
  </li>
  <li>
   DevOps - Git, CI/CD
  </li>
  <li>
   Strong Communication Skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  The company are looking to begin conversations and interviews from this week so to secure an interview slot, send in an application, send me over a message or send your resume into the details below
 </p>
 <p>
 </p>
</div>


Software Developer

<div></div><div><div><div><div><div><div><b>November 26, 2025
</b></div></div><div><div><div><b>001880SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join HBS Foundry?</b></p><p>
HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We&rsquo;re a small, collaborative team within one of the world&rsquo;s most respected institutions&mdash;combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we&rsquo;re developing tools and experiences that empower founders to grow their ventures and their confidence. It&rsquo;s an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next.</p><p><br>
Job Description</p><p><b><br>
Job Summary:</b></p><p>
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.</p><p>
We are seeking a talented Applied AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users.</p><p><b>
Job-Specific Responsibilities:</b></p><ul><li><b>
Build trust and collaboration</b> by being present on-site and engaging directly with colleagues and various constituents.</li><li><b>
Develop and train AI models:</b> Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision.</li><li><b>
Implement and integrate AI:</b> Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs.</li><li><b>
Data preprocessing:</b> Clean, prepare, and manage large datasets to be used for training and fine-tuning models.</li><li><b>
Optimize performance:</b> Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement.</li><li><b>
Collaborate with teams:</b> Work with data scientists, project managers, and other stakeholders to identify business needs and deliver AI solutions.</li><li><b>
Stay updated:</b> Keep up with the latest advancements in AI technology, tools, and trends to ensure projects remain innovative.</li><li>
This role is responsible for other duties as assigned.</li></ul><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:</b></p><ul><li>
Minimum of seven years&rsquo; post-secondary education or relevant work experience</li><li><b>
Education:</b> A bachelor's degree in computer science, data science, or a related field is required.</li><li><b>
Programming:</b> Strong proficiency in programming languages such as Python and Java.</li><li><b>
AI/ML Frameworks:</b> Experience with AI frameworks like TensorFlow and PyTorch.</li><li><b>
Problem-solving:</b> Strong analytical and logical thinking skills to tackle complex problems.</li><li><b>
Collaboration:</b> Ability to work effectively with cross-functional teams.</li><li><b>
Cloud experience:</b> Familiarity with cloud platforms is often beneficial.</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Appointment End Date: </b>This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/extension.</li><li><b>
Standard Hours/Schedule: </b>40 hours per week</li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position</li><li><b>
Pre-Employment Screening: </b>Identity, Education, Criminal</li><li><b>
Other Information:</b><ul><li>
This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday &ndash; Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>
As part of our evaluation, candidates are required to complete a <b>Take Home Assignment</b> after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>
A cover letter is required to be considered for this opportunity.</li></ul></li></ul><div></div><p><b>
Work Format Details</b></p><p>
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on <b>Employment Outside of Massachusetts</b>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 059. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Sr. Applied AI Engineer, Generative AI Applications, HBS Foundry

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