platform & automation senior engineer Jobs in Boston

platform & automation senior engineer

principal software engineer

Berkshire Hathaway Specialty Insurance

<div></div><div><p><b>Who are we?</b><br>
A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway&rsquo;s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.</p><p>
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty, and specialty lines insurance company in the world?</p><p>
Learn more about our unique culture and history.</p><p></p><p><b><br>
Job Opportunity:</b></p><p>
Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for an IT professional who possesses extensive technical and delivery skill to join our Boston based Enterprise Applications Team as a Principal Software Engineer. This role will drive the implementation of our technical architecture and be integral to the solutioning and design for critical automation efforts. Solutions will involve the integration of vendor packages and custom solutions and the candidate must possess a passion for delivering value through technology.</p><p></p><p><b><br>
Duties &amp; Responsibilities:</b></p><ul><li>
Lead/Manage small to large complex projects and enhancements including hands-on software development adhering to the defined SLAs</li><li>
Provide hands on support for applications as needed</li><li>
Actively participate in solution design and programming for Enterprise applications</li><li>
Ensure alignment of technical architecture of the application with the enterprise technology roadmap. Establish and ensure the implementation of agreed architecture and infrastructure</li><li>
Evaluate and select appropriate software, tools, and integration methods</li><li>
Oversee development activity (e.g., conduct code reviews, process adherence) and provide guidance to team members, both internal and external</li><li>
Present technical solution to our Enterprise Architecture Review Board</li><li>
Help create documentation to provide user support for programs and for production/operating procedures</li></ul><p></p><p><b><br>
Qualifications, Skills, and Experience:</b></p><ul><li>
Proven experience as a Principal Software Engineer with deep experience in building applications and leveraging third party solutions wherever applicable</li><li>
Hands-on expertise with software development and system administration</li><li>
Proven expertise in cloud-first and service-oriented architecture (SOA)</li><li>
Expert level knowledge of coding languages in the Microsoft suite</li><li>
Diverse technical background with desire and ability to be hands on throughout the project lifecycle</li><li>
Excellent observation and analytical skills, with a keen attention to detail</li><li>
Excellent communication and interpersonal skills, comfortable liaising with remote users and vendors</li><li>
Adept and eager to becoming knowledgeable in the business use of the systems platform implemented</li><li>
Understanding of the Property &amp; Casualty Insurance industry is desirable; not required</li><li>
Independently motivated with a &ldquo;team player&rdquo; mentality with an ability to offer flexibility while maintaining focus on solution delivery</li><li>
Experience supervising teams of local and off-shore IT development resources</li></ul><p></p><p><b><br>
BHSI Offers:</b></p><ul><li>A competitive package and exciting growth opportunities for career-oriented teammates</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework</li><li>Benefits that support your life and well-being, which include:</li></ul><ul><li>
Comprehensive Health, Dental and Vision benefits</li><li>
Disability Insurance (both short-term and long-term)</li><li>
Life Insurance (for you and your family)</li><li>
Accidental Death &amp; Dismemberment Insurance (for you and your family)</li><li>
Flexible Spending Accounts</li><li>
Health Reimbursement Account</li><li>
Employee Assistance Program</li><li>
Retirement Savings 401(k) Plan with Company Match</li><li>
Generous holiday and Paid Time Off</li><li>
Tuition Reimbursement</li><li>
Paid Parental Leave</li></ul><p></p><p><i><br>
The base salary range for this position is $130,000 to $170,000, along with annual bonus eligibility; a candidate&rsquo;s salary is determined by their relevant skills and experience. We value our teammates &ndash; both their capabilities and character &ndash; as demonstrated by our amazing culture.</i></p><p>
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</p></div><p></p>

Principal Software Engineer

Red Hat

<div><div>At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and llm-d project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.</div><div></div><div>
As a Machine Learning Engineer focused on llama.cpp, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.</div><div></div><div>
Join us in shaping the future of AI!</div><div></div><div>
What you will do</div><ul><li><div>
Design and implement new features and optimizations for the llama.cpp core, including model architecture support, quantization techniques, and inference algorithms.</div></li></ul><ul><li><div>
Optimize the codebase for various hardware backends, including CPU instruction sets, Apple Silicon (Metal), and other GPU technologies (CUDA, Vulkan, SYCL).</div></li><li><div>
Conduct performance analysis and benchmarking to identify bottlenecks and propose solutions for improving latency and throughput.</div></li><li><div>
Contribute to the design and evolution of core project components, such as the GGUF file format and the GGML tensor library.</div></li><li><div>
Collaborate with the open-source community by reviewing pull requests, participating in technical discussions on GitHub, and providing guidance on best practices.</div></li></ul><div><br>
</div><div>What you will bring</div><ul><li><div>
Extensive experience in writing high performance modern C++ code.</div></li><li><div>
Strong experience with hardware acceleration libraries and backends: CUDA, Metal, Vulkan, or SYCL.</div></li><li><div>
Strong fundamentals in machine learning and deep learning, with a deep understanding of transformer architectures and LLM inference.</div></li><li><div>
Experience with performance profiling, benchmarking, and optimization techniques.</div></li><li><div>
Proficient in Python.</div></li><li><div>
Prior experience contributing to a major open-source project.</div></li></ul><div></div><div>
#AI-HIRING</div><div>
#LI-MD2</div><div></div>
The salary range for this position is $189,600.00 - $351,050.00. Actual offer will be based on your qualifications.<div></div><div>
Pay Transparency</div><div>
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat&rsquo;s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.</div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Benefits<br>
<ul><li>Comprehensive medical, dental, and vision coverage</li><li>Flexible Spending Account - healthcare and dependent care</li><li>Health Savings Account - high deductible medical plan</li><li>Retirement 401(k) with employer match</li><li>Paid time off and holidays</li><li>Paid parental leave plans for all new parents</li><li>Leave benefits including disability, paid family medical leave, and paid military leave</li><li>Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!</li></ul></div><div></div><div>
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.</div><div></div><div>
Inclusion at Red Hat<br>
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO)<br>
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div><br>
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div></div><div>
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Principal/Senior Principal Machine Learning Engineer, llama.cpp

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD89883<div></div><div>
Position Overview</div><div>
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products&mdash;AutoCAD, Revit, and Construction Cloud&mdash;and Forma, our new Industry Cloud.</div><div>
As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build cutting-edge foundation models and generative AI tools for the AEC industry. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data that can augment design and engineering workflows.</div><div>
The ideal candidate is someone who isn&rsquo;t afraid of technical complexity and is constantly looking for ways to leverage the latest and greatest advancements in the field of artificial intelligence and machine learning to deliver next-generation experiences for our AEC customers.</div><div></div><div>
Report: You will report to an ML Development Manager for the Generative AI team</div><div></div><div>
Location: We support hybrid work or remote work in Canada or United States. East Coast Preferred</div><div></div><div>
Responsibilities</div><ul><li><div>
Set the strategic technical vision for Autodesk&rsquo;s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments</div></li><li><div>
Lead the design and development of intelligent data processing and characterization systems that transform unstructured inputs (e.g., text, images, geometry) into structured, ML-ready formats</div></li><li><div>
Architect and implement scalable, production-grade data and ML pipelines that support training and fine-tuning of models</div></li><li><div>
Drive strategic technical planning across the team&mdash;identifying bottlenecks, proposing long-term architectural improvements, and aligning data/ML infrastructure with product goals</div></li><li><div>
Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data and related attributes into model development workflows</div></li><li><div>
Perform hands-on development of data preprocessing, feature extraction, and transformation modules optimized for downstream ML model performance</div></li><li><div>
Define and establish best practices for model experimentation, evaluation, and deployment in high-throughput environments</div></li><li><div>
Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision to maximize the value of unlabeled data</div></li><li><div>
Own and evolve the model/data feedback loop by monitoring model quality, diagnosing failure modes, and guiding iterative improvements</div></li><li><div>
Mentor and support a team of ML engineers, fostering a culture of engineering excellence, curiosity, and technical ownership</div></li><li><div>
Stay current with advances in generative AI, foundation models, and data-centric AI&mdash;translating research into practical, scalable solutions</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
A Master's degree (or higher) in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics or a related field</div></li><li><div>
10+ years of work experience in machine learning, data science, AI, or a related field with a proven track record of technical leadership and hands-on implementation</div></li><li><div>
Deep understanding of data modelling, system architectures, and processing techniques, including 2D/3D geometric data representations</div></li><li><div>
Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)</div></li><li><div>
Experience with Large Models (LLMs and/or VLMs) and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings</div></li><li><div>
Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development</div></li><li><div>
Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency</div></li><li><div>
Proven ability to translate theoretical concepts into practical solutions and prototype implementations</div></li><li><div>
Ability to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementation</div></li><li><div>
Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams</div></li></ul><div></div><div>
Other Qualifications</div><ul><li><div>
Background in Architecture, Engineering, or Construction</div></li><li><div>
Extensive experience in system design for data preparation, hyperparameter selection, acceleration techniques, and optimization methods</div></li><li><div>
Proficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model training</div></li><li><div>
Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices</div></li></ul><div></div><div>
The Ideal Candidate</div><ul><li><div>
Is passionate about solving problems for AEC customers (Architecture, Engineering, and Construction) by applying machine learning techniques</div></li><li><div>
Is a strategic thinker, capable of shaping and executing long-term data-driven initiatives that align with business objectives</div></li><li><div>
Is comfortable working in newly forming ambiguous areas where learning, experimentation and adaptability are key skills</div></li><li><div>
Actively contributes to a learning-driven culture, sharing knowledge, mentoring peers, and fostering an environment of continuous growth</div></li><li><div>
Is bold and iterative, unafraid to share ideas, experiment, and fail fast</div></li></ul><div></div><div><div><div><div><div><div><div><div>
Learn More</div></div></div></div></div></div></div></div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div><div><div><div><div><div><div><div>
Salary transparency</div></div></div></div></div></div></div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $161,300 and $236,500. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<div></div><div>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Diversity &amp; Belonging</div><div>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div><div></div><div>
Are you an existing contractor or consultant with Autodesk?</div><div>
Please search for open jobs and apply internally (not on this external site).</div></div>

Senior/Principal Machine Learning Engineer, Generative AI

Tufts University

<div>Overview:
<div>
The Department of Public Health and Community Medicine is an academic department within the Tufts University School of Medicine located on the Health Sciences Campus in Boston. Technical and academic assets within the department provide a strong research support system for federally-funded research. Its faculty members hold advanced degrees in epidemiology, biostatistics, sociology, anthropology, law, medicine, nutrition, biology, engineering, health policy, economics, social policy, education, social work, and the behavioral sciences. Department research includes a focus on the following thematic areas: health equity, substance use disorders, health communication, nutrition and infection, infectious disease epidemiology, health policy and health care delivery, environmental health, the opioid epidemic, and global health. Department faculty are methodologically strong and diverse, with expertise in biostatistics, survey research, program evaluation, qualitative methods, dietary assessment and spatial epidemiological analysis.</div>
What You'll Do:
<div><b>
This is a grant funded position and is not eligible for severance pay.</b></div><div><br>
This Senior Research Coordinator position will the support the Principal Investigator on projects focused on understanding the implications of nonadherence to tuberculosis (TB) medications on outcomes for people living with TB globally. Most of the Senior Research Coordinator's time will be spent working on starting implementation of a large study evaluating novel approaches for measuring adherence to TB medications, in collaboration with international collaborators.</div><div><br>
Under the general supervision of the Principal Investigator, the Senior Research Coordinator will be responsible for updating and reconciling IRB-related paperwork, using RedCap or other software to develop a data entry platform, and managing other regulatory paperwork for the study. The Senior Research Coordinator will also contribute to development of a study protocol manuscript for public posting. They will be responsible for coordinating routine activities for the study, including data maintenance, scheduling meetings with international collaborators, and maintaining other routine communications. Relevant skills include strong knowledge of use of Excel for data management, prior use of data entry platforms such as RedCap or EpiCollect, and good writing and communication skills. The Senior Research Coordinator will have the opportunity to contribute to manuscripts in development from related projects focused on tuberculosis medication adherence and treatment outcomes.</div><br>
<div></div>
What We're Looking For:
<div><b>
Basic Requirements:</b></div><ul><li>
Typically requires a Bachelor's degree and 2+ years&rsquo; experience in a clinical research setting</li><li>
Experience with Excel and strong writing skills are mandatory.</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
MPH or MSc in a public health field, especially global health, is preferred.
</li><li>Prior experience in TB research is preferred.
</li><li>Given that study interactions will take place with international teams, including teams in India, knowledge of Tamil or other Indian languages may be helpful though not mandatory</li></ul></div>

Senior Research Coordinator - Tufts University School of Medicine

Nicole Hogarty Designs

<p><b>Interior Architect / Designer</b></p><p>Nicole Hogarty Designs is a boutique, full-service design firm located in the heart of Boston&rsquo;s South End. We are a well-established firm thoughtfully growing and seeking an experienced Interior Designer to join our team.</p><p>If you thrive as part of a small, high-intensity, deeply collaborative, inclusive, and creative team this is the place for you. Everyone in our studio adds value and works together to complete projects concerning some of the most-prized properties around New England.</p><p>We are actively changing the aesthetic conversation in New England by making new connections between function, beauty, and process. Many of our projects are rooted in the region, but we are quickly expanding our studio presence nationally.</p><p>Our studio prioritizes client relationships and leads with deep listening and solutions-based problem-solving. We believe that even the smallest of design details&mdash;down to the antique brass drawer pulls&mdash;impact our clients&rsquo; everyday sense of well-being. If the idea of a collaborative, all-hands-on deck (bakery breaks included!) captures your working style, then we look forward to hearing from you.</p><p><b>Responsibilities include, but are not limited to:</b></p><ul><li>Work in tandem with the Principal and Senior Designers to develop plans and interior design concepts</li><li>Work with the Principal to source and select finishes, fixtures, lighting, hardware &amp; accessories.</li><li>Act as liaison with clients, contractors, and vendors regarding the technical aspects of project</li><li>Coordinate and produce construction and design documents.</li><li>Review and detail shop drawings for construction plans.</li><li>Manage and review schedules, construction details, and project deliverables.</li><li>Ensures regular reviews at key design stages with the Principal Designer</li><li>Travels to the job site, design center, and showrooms as needed.</li><li>Prepare presentation materials.</li></ul><p><b>&#65279;The Ideal Candidate:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s Degree in Interior Design / Architecture</li><li>3+ years of experience in a residential design setting</li><li>A solid competency in the technical aspects of construction</li><li>Strong experience in AutoCAD, Photoshop, Sketchup, and InDesign</li><li>Knowledge of design process - FF&amp;E, specifications, finish, and material selections</li><li>Knowledge of local and online showrooms, resources, and industry trends</li><li>Comfortable and confident communicating with vendors, subcontractors and clients</li><li>Contribute to a small studio environment with flexibility, problem-solving and good judgment.</li><li>Strong attention to detail and quality control, with capacity to work independently and multitask.</li><li>Experience in Microsoft Office Suite and cloud-based file systems</li><li>Must have a valid MA driver&rsquo;s license</li></ul><p><b>Compensation</b></p><ul><li>Paid vacations as well as a paid week off between Christmas and New Year&rsquo;s Day</li><li>Competitive benefits available&ndash; 401K savings, transportation, and health care contributions</li><li>Bi-annual performance-based bonus</li><li>Weekly office perks</li></ul><p><b>About Our Company</b></p><p>As a full-service boutique design firm, Nicole Hogarty Designs regards each project as an artistic collaboration with the client. The groundwork begins with a relationship&mdash;one in which Nicole Hogarty grasps not only the architectural and aesthetic demands of a project, but how the client imagines living with ease in a home customized to be entirely in tune with their wellbeing.</p><p>Nicole Hogarty Designs prides itself on longstanding relationships, from repeat clients to our existing network of masterful tradespeople &ndash; the extended team. Every project truly takes a village and Nicole and her accomplished studio manage the process both in the office and onsite by implementing creative solutions along the way. Clients can choose to be as closely involved or removed as they like but can trust that even the largest project will be meticulously managed by Nicole along each step of the design journey.</p><p>Projects recently featured in Interiors Magazine, AD Mexico, Elle D&eacute;cor France, New England Home, and more.</p><p>Job Type: Full-time</p><p>Pay: $65,000.00 - $80,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Health insurance</li><li>Paid time off</li></ul><p>Experience:</p><ul><li>AutoCAD: 2 years (Required)</li></ul><p>Ability to Commute:</p><ul><li>Boston, MA 02118 (Required)</li></ul><p>Work Location: In person</p>

Interior Designer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation.<br>
<br>
As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.<br>
<br>
Key job responsibilities<br>
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.<br>
<br>
Responsibilities-<br>
<br>
<ul><li>Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.</li><li>Work closely with Applied scientists to process data, scale machine learning models while optimizing</li><li>Will work in an Agile/Scrum environment to deliver high quality software.</li></ul><br>
About the team<br>
Mentorship &amp; Career Growth<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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>
<br>
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>
<br>
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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Dev. Engineer/MLE, AGI Customization

Performance & Capacity Engineer - Planning Optimization

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