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ai / ml engineer

artificial intelligence (ai) engineer Jobs in Boston

artificial intelligence (ai) engineer

engineer - intern

ai ml engineer

Nextera Robotics

<p>Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build and deploy advanced AI systems and autonomous technologies for Fortune 500 clients across construction, energy, and manufacturing.</p><p>We move fast with small, agile teams. Autonomy is the standard, not the exception. You'll take your work from idea to production and see it create real value in the field. The work is challenging, deeply technical, and seriously rewarding.</p><p>This role is built for a strong engineer with a versatile software development background and a real passion for AI, machine learning, and robotics.</p><p><b>What you'll do:</b></p><ul><li>Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning.</li><li>Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence.</li><li>Develop AI systems deployed across robotics, construction, energy, and telecommunications.</li><li>Work closely with engineers and annotators to expand and improve high-quality training datasets.</li><li>Support and scale machine learning operations (MLOps).</li><li>Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment.</li></ul><p>Required:</p><ul><li>Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models</li><li>Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment</li><li>Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration</li><li>Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams</li><li>Familiarity with data pipelines, model evaluation, and real-world ML workflows</li></ul><p>Good to have:</p><ul><li>Strong background in mathematics, statistics, physics, or another highly quantitative field</li><li>Experience with VLMs, LLMs, or multimodal AI systems</li><li>Familiarity with MLOps, cloud infrastructure, and training or deployment pipelines</li><li>Back-end experience with modern frameworks; Django and MySQL are a plus</li></ul><p>Working at Nextera is a great opportunity for those who love to get things done. The work is challenging, deeply technical, and incredibly rewarding - you&rsquo;ll see your models and systems make the jump from development to real-world deployment. We&rsquo;ll be very excited to learn more about you and welcome you to the Nextera Robotics team!</p><p>Competitive salary based on experience, plus great perks. Join a YC-backed startup shaping the future of Physical AI!</p><p>Pay: $130,000.00 - $210,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

AI / ML Engineer

Yogi Careers

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  We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
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   Develop and maintain feature stores and ML-ready datasets
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   Automate data preprocessing pipelines for ML model training and evaluation
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   Collaborate with ML engineers to enable scalable experimentation workflows
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   Monitor and improve data reliability, lineage, and reproducibility
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   BS/MS in Computer Science, Data Engineering, or similar
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   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
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   Strong Python and SQL skills, with familiarity in Spark or Dask
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   Experience with Airflow, MLflow, or Kubeflow pipelines
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   Solid understanding of MLOps, data validation, and model versioning
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  Job Category:
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 Data Engineer
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 Full Time
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  Job Location:
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 Boston
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   Responsibilities:
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  </strong>
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   Develop and maintain feature stores and ML-ready datasets
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   Automate data preprocessing pipelines for ML model training and evaluation
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   Collaborate with ML engineers to enable scalable experimentation workflows
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   Monitor and improve data reliability, lineage, and reproducibility
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   Requirements:
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   BS/MS in Computer Science, Data Engineering, or similar
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   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
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  </li>
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  Job Category:
 </strong>
 Data Engineer
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  Job Type:
 </strong>
 Full Time
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  Job Location:
 </strong>
 Boston
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  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
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   Requirements:
   <br/>
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  </strong>
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  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
  </li>
 </ul>
</div>


Data Engineer – AI/ML Data Infrastructure

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Senior AI Platform Engineer</b></h2>
<p>
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.</p>
<p>
As a <b>Senior AI Platform Engineer</b>, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.</p>
<p><i>
This role is hybrid and based in Boston.</i></p>
<p><b>
How you'll make a difference:</b></p>
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
<p><b>Who You Are:</b></p>
<p><i>
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!</i></p>
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul><br>
<p></p>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p>
<p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Software Engineer II - Analytics Data Engineering | AI &amp; Analytics Data Enablement</b></h2>
<p>
Location: Boston, MA</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won't just be moving data; you'll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.</p>
<p>
You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Build Production-Grade Foundations</b>: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.</li>
<li><b>Optimize for Enterprise Performance</b>: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.</li>
<li><b>Treat Data as a Product</b>: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.</li>
<li><b>Drive Operational Excellence</b>: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.</li>
<li><b>Partner Cross-Functionally</b>: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.</li>
<li><b>Innovate with AI</b>: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3>
<ul><li><b>The Experience:</b> 2+ years of experience in data engineering or a data-intensive software engineering role. You've moved past the &quot;beginner&quot; phase and are comfortable taking a project from a design doc to a production deployment.</li>
<li><b>Fluent in SQL and Python:</b> You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.</li>
<li><b>Distributed Systems Knowledge:</b> You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).</li>
<li><b>Modeling Intuition:</b> You understand the difference between a &quot;raw table&quot; and a &quot;semantic layer.&quot; You've worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).</li>
<li><b>Performance Minded:</b> You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.</li>
<li><b>Collaborative &amp; Curious:</b> You're an inclusive collaborator who enjoys working with Product and Data Science. You're excited to experiment with AI tools to make your own engineering workflow more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves</b></h3>
<ul><li>Experience with Iceberg table maintenance and compaction.</li>
<li>Exposure to Terraform or other Infrastructure-as-Code tools.</li>
<li>A background in Martech or SaaS platforms dealing with high-frequency event data.</li>
<li>Experience building data products that directly power customer-facing UI components and/or support AI/ML features.</li>
<li>Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.</li>
<li>Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).</li>
<li>Familiarity with statistical modeling and machine learning.</li>
</ul><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Software Engineer II - Analytics Data Engineering

Lutron Electronics

<div>Overview:
<div>
At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. We are looking for extraordinary and world-class people that are outstanding in both strategic and practical areas. As a Principal Data Scientist, you will deliver impact through data science, ML, and AI by working with the functional teams to develop and execute the technical vision for data science and AI across the company, and you will help to build the organization. You will lead the most complex and high-impact initiatives, influence company-wide strategy, and establish standards and foundational capabilities that enable Lutron&rsquo;s next generation of intelligent products and services.</div>
Responsibilities:
<ul><li>Execute multi-year, company-wide data science and AI initiatives with significant business and product impact. Move the company forward and show progress.</li><li>
Apply your problem-solving skills to address highly complex, ambiguous problems that span multiple domains and organizations</li><li>
Architect and deploy scalable machine learning and AI systems that serve as foundational platforms for multiple teams</li><li>
Partner with senior engineering, product, and business leaders to shape and execute Lutron&rsquo;s Data &amp; AI strategy</li><li>
Identify, evaluate, and incubate emerging technologies such as generative AI, reinforcement learning, and edge AI</li><li>
Establish best practices and standards for MLOps, responsible AI, model governance, and technical excellence</li><li>
Mentor and develop senior and staff-level data scientists and technical leaders</li><li>
Represent Lutron as a technical authority in data science and AI, both internally and externally</li><li>
Drive creation of reusable frameworks, platforms, and intellectual property</li></ul>
Qualifications:
<ul><li>PhD degree in a STEM field, or MS degree and equivalent, recognized expertise in Data Science, Computer Science, Statistics, or a related field.</li><li>
12+ years of experience in data science, machine learning, and AI with sustained, enterprise-level impact</li><li>
Proven leadership track record leading teams and projects, coordinating across functions, and driving execution from concept through delivery.</li><li>
Deep expertise in advanced machine learning, AI systems, and large-scale production deployments</li><li>
Proven ability to influence strategy and technical direction across multiple organizations</li><li>
Exceptional communication skills, including executive-level technical storytelling</li><li>
Proficiency in Python, R, or Scala, and deep experience with modern ML frameworks and cloud platforms</li><li>
Expert in large-scale cloud deployment of ML/AI models</li><li>
Expert in MLOps</li></ul><div></div><p><b><br>
Desired Qualifications</b></p><ul><li>
Recognized thought leadership in applied data science or AI</li><li>
Background in IoT, embedded systems, or intelligent devices</li><li>
Experience contributing to patents, publications, or industry standards</li></ul><p></p><p><br>
Starting pay: $175,000 - $190,000 per year; Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation (amount based on tenure with the company), flexible spending accounts, and tuition reimbursement programs.</p><p></p><div><br>
Lutron Electronics&rsquo; position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.</div><div></div><div><i><br>
Lutron Electronics is an Equal Opportunity &ndash; Affirmative Action &ndash; Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics</i></div></div>

Principal Data Scientist

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a tech-savvy storyteller who can translate complex AI solutions into compelling customer value? At AWS, we're seeking a AI Product Marketing Manager who can shape the future of how AI model development and inference impact customer outcomes.<br>
<br>
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across AI including Amazon SageMaker, and Amazon Bedrock.<br>
<br>
We're looking for a unique blend of data scientist, machine learning engineer, technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.<br>
<br>
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner with product management and sales teams to develop product strategies in AI with a direct focus on model development, inference, and ML Ops</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference</li><li>Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</li></ul><br>
About the team<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
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</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>4+ years experience working directly with customers on adoption of cloud-based products and services</li><li>4+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI) Bachelor's degree in Computer Science or similar field or equivalent experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>4+ years of cloud architecture and solution implementation experience</li><li>Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience</li><li>4+architectures in one or more technical domains (ML, Generative AI, Agentic AI)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually<br>
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Product Marketing Manager - Tech, AWS AI Marketing

Plymouth Rock Assurance

<div><p><b>Artificial Intelligence Intern</b></p>
<p>
</p><p>We are seeking motivated Artificial Intelligence engineering interns to gain hands-on experience deploying artificial intelligence systems while working alongside experienced AI professionals. This internship offers exposure to real-world AI applications, meaningful project contributions, and mentorship designed to help build strong technical and professional foundations. The ideal candidate is curious, eager to learn, and passionate about AI and emerging technologies.</p>
<p>
</p><p><b>Essential Functions and Responsibilities:</b></p>
<ul>
<li>Assist in developing, testing, and optimizing deployed AI systems</li>
<li>Support research on AI algorithms, tools, and best practices</li>
<li>Collaborate with software engineering and product teams</li>
<li>Document code, experiments, and technical findings</li>
<li>Participate in team meetings, code reviews, and learning sessions</li>
<li>Tech Stack: Python, SQL/NoSQL, AWS</li>
</ul>
<p><b>Qualifications and Education:</b></p>
<ul>
<li>Currently pursuing a degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Basic understanding of AI concepts</li>
<li>Actively leverages LLM tools to enhance decision-making, creativity, and
</li><li>operational effectiveness</li>
<li>Experience with at least one programming language (Python preferred)</li>
<li>Familiarity with data analysis tools (Pandas, NumPy)</li>
<li>Strong problem-solving, communication, and teamwork skills</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with ML libraries ( PyTorch, scikit-learn) and/or LLM APIs (OpenAI, Anthropic, Google)</li>
<li>Exposure to LLM toolkits (e.g., LangChain, Amazon Bedrock)</li>
<li>Knowledge of Git, REST APIs, and AWS</li>
<li>Personal or academic AI/ML projects</li>
</ul>
<p>Pay Rate: The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.</p>
<p>
</p><p><b>Why work for us:</b></p>
<ul>
<li>Friendly and collaborate work culture</li>
<li>Free On-site gym access</li>
<li>Free Coffee and Snacks</li>
<li>Company social events</li>
<li>Lunch and Learn Leadership program</li>
<li>Business Casual (Can wear jeans and sneakers!)</li>
<li>Convenient Location &ndash; across from South Station!</li>
</ul>
<p><b>About the Company:</b></p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;.</i></p>
<p><i>
</i></p><p>#LI-DNI</p></div>

Artificial Intelligence Intern

Explore 76+ Ai ml engineer in Boston this May. Find roles across top companies and apply now to boost your career.