data analyst

bioinformatics scientist

decision analytics associate consultant - bioinformatics Jobs in Boston

decision analytics associate consultant - bioinformatics

research scientist

data scientist

Prepaire Labs

<div>
 <p>
  Job Position: Bioinformatics Scientist
 </p>
 <p>
  Location: Boston, MA (On-site)
 </p>
 <p>
  Employment Type: Full-time
 </p>
 <p>
  Salary: $110,000 &ndash; $140,000
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Prepaire is seeking a
  <strong>
   Bioinformatics Scientist
  </strong>
  to support and strengthen our next-generation sequencing (NGS) and multi-omics analytics. This role is critical to ensuring the robustness, scalability, and scientific rigor of our bioinformatics pipelines as we continue to expand our precision health platform.
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Design, run, and optimize NGS workflows including variant calling, QC, and annotation
  </li>
  <li>
   Analyze and integrate multi-omics datasets (genomics, transcriptomics, etc.)
  </li>
  <li>
   Manage and curate biological databases and structured datasets
  </li>
  <li>
   Collaborate with scientific and engineering teams to deliver clear, high-quality analytical reports
  </li>
  <li>
   Support continuous improvement of bioinformatics pipelines and documentation
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   Strong hands-on experience with tools such as
   <strong>
    GATK, BWA, STAR
   </strong>
  </li>
  <li>
   Proficiency in
   <strong>
    R/Bioconductor
   </strong>
   and
   <strong>
    Python
   </strong>
  </li>
  <li>
   Experience working with cloud-based or scalable data pipelines
  </li>
  <li>
   Solid understanding of NGS data analysis best practices
  </li>
 </ul>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   MSc or PhD in
   <strong>
    Bioinformatics, Computational Biology
   </strong>
   , or a related field
  </li>
  <li>
   <strong>
    2&ndash;5 years
   </strong>
   of relevant industry or research experience
  </li>
 </ul>
 <p>
  <strong>
   Why Join Prepaire
  </strong>
 </p>
 <ul>
  <li>
   Work on meaningful, real-world biological data
  </li>
  <li>
   Collaborate with a multidisciplinary, science-driven team
  </li>
  <li>
   Competitive salary and growth opportunities in a fast-moving biotech environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you can join immediately and this sounds like you, we&rsquo;d love to hear from you! Please apply directly through LinkedIn.
 </p>
</div>


Bioinformatics Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.
<br>
<br>
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.<br>
<br>
Key job responsibilities<br>
<ul><li>Build, adapt and evaluate ML models for life sciences applications</li><li>Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience with programming languages such as Python, Java, C++</li><li>Expert knowledge of machine learning and deep learning; experience in applying ML to protein biology.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Expert knowledge of protein biology and design.</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>
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>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, Special Projects

Whoop

<div><div><div>At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.</div><div></div><div><br>
WHOOP is seeking a Senior Machine Learning Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling core physiological signal processing and machine learning systems that power WHOOP&rsquo;s most foundational health features. You will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members. This role will contribute to both member-facing and regulated health features, requiring a strong balance of ML rigor, production readiness, and regulatory awareness. Join us in pushing the boundaries of wearable technology and positively impacting people's lives!</div></div><div><div><h3 class="jobSectionHeader"><b>
RESPONSIBILITIES:</b></h3><ul><ul><li>
Design and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.</li><li>
Conduct experiments and perform rigorous testing of the models. Optimize and fine-tune the DL/ML (including Foundation AI models) models for deployment in production systems, considering factors such as computational resources and real-time constraints.</li><li>
Write clean, efficient, and maintainable code that is production ready.</li><li>
Stay up to date with the latest advancements in AI/DL research and technologies.</li><li>
Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality.</li><li>
Contribute to ongoing research efforts and explore new features for the Whoop product. Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems.</li><li>
Prepare comprehensive reports for cross-functional teams.</li><li>
Own the full lifecycle of ML service(s) from development to deployment. Be ready to partner with data engineers to build and enhance data pipelines, validation tools, and monitoring systems that ensure consistent model performance in production.</li><li>
Mentor team members in ML engineering best practices.</li><li>
Develop, validate, and maintain ML algorithms for regulated health features, ensuring compliance with applicable regulatory and quality requirements.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
QUALIFICATIONS:</b></h3><ul><ul><li>
Bachelor's degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field; Master&rsquo;s or PhD degree preferred.</li><li>
5+ years of work experience as a Machine Learning Engineer working on research and development problems (4+ years for those with Master&rsquo;s degree and 2+ years for those with PhD degree). The requirements may be relaxed for exceptional candidates.</li><li>
Must have experience working with multiple DL architectures. Experience in training/fine-tuning/deploying Foundation AI models is a Significant Plus.</li><li>
Solid understanding of ML fundamentals, and particularly DL techniques. At the SIG team, we like to be aware of the mathematics behind the algorithms we use.</li><li>
Strong experience with time series data, e.g. data pertaining to wearables, physiological signals or any high-frequency sensor data. Familiarity with signal processing concepts and techniques is expected.</li><li>
Proficiency in Python (scientific stack), ML/DL frameworks and libraries, e.g. PyTorch, TensorFlow.</li><li>
Demonstrated success in designing and deploying ML inference systems at scale, including real-time and batch architectures is a plus. Experience with cloud computing platforms (e.g. AWS or GCP) is a plus.</li><li>
Strong communication (both written and oral) and collaboration skills across cross-functional teams.</li><li>
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.</li><li>
Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines.</li><li>
Experience developing or supporting regulated or high-risk ML systems (e.g., digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a plus.</li></ul></ul></div></div><div><div><b><i>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.</i></b></div><div></div><div><i><br>
Interested in the role, but don&rsquo;t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.</i></div><div></div><div><i><br>
WHOOP is an Equal Opportunity Employer and participates in </i><i>E-verify</i><i> to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></div><div></div><div><i><br>
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.</i></div><div></div><div><i><br>
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company&rsquo;s long-term growth and success.</i></div><div></div><div><i><br>
The U.S. base salary range for this full-time position is $150,000 - $210,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.</i></div><div></div><div><i><br>
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.<br>
</i></div><div></div><br>
<div><i>These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate&rsquo;s specific qualifications, expertise, and alignment with the role&rsquo;s requirements.</i></div></div></div><p></p>

Senior Machine Learning Engineer (Sensor Intelligence)

Alan Gray, Inc.

<div><div><div><b>Summary </b>: This role is responsible for data analytics and reporting for the SIMS platform. This role develops and manages client reporting needs. This role fulfills any reporting requirements for internal staff in finance, executive, account management and operations. This role provides client support and implementation services for SIMS existing and new clients. The Data Analyst is part of the Technical Operations team and reports to the Operations Manager. S uccess in this role requires extensive experience in customer service, strong product knowledge and a varied technical acumen.<br>
</div><div></div><div><b>Responsibilities include but not limited to:
</b></div><div><ul><li>Developing and maintaining all SIMS client reporting and requests.
</li><li>Managing client data within the SIMS platform
</li><li>Providing all monthly billing reports for client invoicing to Finance
</li><li>Creating custom reports for internal and external shareholders
</li></ul></div><ul><li>Timely monthly client billing reports
</li><li>Administration of dashboards for managing business operations
</li><li>Quality assurance of SQL Data for SIMS platform
</li><li>Oversee inbound data validation and import process.
</li><li>Assist as needed in the onboarding and implementation of new clients onto the SIMS platform
</li><li>Triage, report and escalate system, performance and client related and application issues
</li><li>Communicate between business, development team and Ops leadership.
</li><li>Work with the development team to provide timely support for any client&rsquo;s needs.
</li><li>Open and document application issues for Development review
</li><li>Handle and process incoming customer service requests through ticketing system or via emails
</li>Maintain ongoing contact with business and developers and stay up to date on system limitations, upgrades and capabilities to always ensure peak system performance.<br>
<li>
<br>
</li></ul><div><b>Qualifications </b>:
</div><div><ul><li>Bachelor&rsquo;s degree in computer science, related degree or equivalent work experience.
</li><li>Strong and demonstrable analytical and reporting skills
</li><li>Experience supporting a SaaS based application
</li><li>Possess the ability to work in a fast-paced and flexible environment.
</li><li>Must be customer focused.
</li><li>Must be able to work individually and within a team framework.
</li>Strong documentation and communication skills.<br>
<li>
</li></ul></div><div></div><div><b>Additional Required Skills:
</b></div><div><ul><li>Microsoft Office Suite
</li><li>Strong working knowledge of Microsoft SQL Server
</li><li>Experience with Reporting Tools (i.e. Crystal Report and Power BI)
</li><li>Experience with HubSpot CRM
</li><li>Experience with JIRA
</li></ul></div><ul><li>Previous Experience with Legal Billing Software Beneficial</li></ul></div></div>

Data Analyst

Alan Gray LLC

<div><div><b>Summary</b>: This role is responsible for data analytics and reporting for the SIMS platform. This role develops and manages client reporting needs. This role fulfills any reporting requirements for internal staff in finance, executive, account management and operations. This role provides client support and implementation services for SIMS existing and new clients. The Data Analyst is part of the Technical Operations team and reports to the Operations Manager. Success in this role requires extensive experience in customer service, strong product knowledge and a varied technical acumen.</div><div></div><div><b><br>
Responsibilities include but not limited to:</b></div><div><ul><li>
Developing and maintaining all SIMS client reporting and requests.</li><li>
Managing client data within the SIMS platform</li><li>
Providing all monthly billing reports for client invoicing to Finance</li><li>
Creating custom reports for internal and external shareholders</li></ul></div><ul><li>
Timely monthly client billing reports</li><li>
Administration of dashboards for managing business operations</li><li>
Quality assurance of SQL Data for SIMS platform</li><li>
Oversee inbound data validation and import process.</li><li>
Assist as needed in the onboarding and implementation of new clients onto the SIMS platform</li><li>
Triage, report and escalate system, performance and client related and application issues</li><li>
Communicate between business, development team and Ops leadership.</li><li>
Work with the development team to provide timely support for any client&rsquo;s needs.</li><li>
Open and document application issues for Development review</li><li>
Handle and process incoming customer service requests through ticketing system or via emails</li><li>
Maintain ongoing contact with business and developers and stay up to date on system limitations, upgrades and capabilities to always ensure peak system performance.</li></ul><div><b><br>
Qualifications</b>:</div><div><ul><li>
Bachelor&rsquo;s degree in computer science, related degree or equivalent work experience.</li><li>
Strong and demonstrable analytical and reporting skills</li><li>
Experience supporting a SaaS based application</li><li>
Possess the ability to work in a fast-paced and flexible environment.</li><li>
Must be customer focused.</li><li>
Must be able to work individually and within a team framework.</li><li>
Strong documentation and communication skills.</li></ul></div><div></div><div><b><br>
Additional Required Skills:</b></div><div><ul><li>
Microsoft Office Suite</li><li>
Strong working knowledge of Microsoft SQL Server</li><li>
Experience with Reporting Tools (i.e. Crystal Report and Power BI)</li><li>
Experience with HubSpot CRM</li><li>
Experience with JIRA</li></ul></div><ul><li>
Previous Experience with Legal Billing Software Beneficial</li></ul></div>

<div>
 <strong>
  ZS
 </strong>
 is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by
 <strong>
  bringing together data, science, technology
 </strong>
 and
 <strong>
  human ingenuity
 </strong>
 to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a
 <strong>
  client-first mentality
 </strong>
 to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
 <br/>
 <br/>
 <strong>
  Insights &amp; Analytics
  <br/>
  <br/>
 </strong>
 <strong>
  ZS's Insights &amp; Analytics group
 </strong>
 partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
 <br/>
 <br/>
 <strong>
  ZS&rsquo;s Discovery Venture
 </strong>
 partners with clients to develop and deploy
 <em>
  in silico
 </em>
 approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS&rsquo;s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS&rsquo;s R&amp;D teams, and deliver excellent outcomes for clients.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do:
 </strong>
 Decision Analytics Associate Consultant in Discovery will...
 <br/>
 <br/>
 <ul>
  <li>
   Apply hands-on expertise in advanced multi-omics data analysis to solve novel challenges across the life sciences industry
  </li>
  <li>
   Utilize advanced bioinformatics techniques to analyze and interpret complex multi-omics datasets, providing actionable insights to address challenges in the life sciences sector
  </li>
  <li>
   Design, develop, and implement robust bioinformatics pipelines and workflows tailored to client-specific needs, ensuring efficient and rigorous data processing and analysis
  </li>
  <li>
   Collaborate with interdisciplinary teams, including researchers, data scientists and project managers to integrate your deep understanding of bioinformatics into broader project objectives
  </li>
  <li>
   Serve as a subject matter expert in specific area or application of bioinformatics, to drive innovation, mentor colleagues and share knowledge across teams
  </li>
  <li>
   Engage with clients to understand their challenges, present analytical findings, and offer strategic recommendations
  </li>
  <li>
   Develop and share insights based on ZS-driven bioinformatics innovations, positioning them within broader industry trends to inform internal teams and external stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
  </li>
  <li>
   2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience.
  </li>
  <li>
   Familiarity and comfort across many applications of human bioinformatics and computational biology in addition to deep and demonstrated leadership in one or more of the following:
  </li>
  <ul>
   <li>
    Large-scale genomic and multi-omics data analysis including GWAS, PheWAS, Molecular QTL analysis, MR, PRS, etc.
   </li>
   <li>
    Multi-omics data analysis and integration applied to oncology, immunology, cardiometabolic health or neurodegeneration
   </li>
   <li>
    Single-cell and spatial omics
   </li>
   <li>
    Functional genomics, epigenomics and systems biology
   </li>
   <li>
    Flow cytometry, imaging or other advanced technique applied to drug discovery activities
   </li>
  </ul>
  <li>
   Strong data science and programming skills in R and/or Python, deep knowledge of relevant bioinformatics tools
  </li>
  <li>
   Demonstrated experience developing highly performant analysis pipelines / workflows including use of popular orchestration languages such as Nextflow, WDL, CWL, etc.
  </li>
  <li>
   Strong scientific rigor with evidence of delivering high quality, reproducible analysis
  </li>
  <li>
   Excellent communication, presentation and team leadership skills with an eagerness for feedback and continuous improvement
  </li>
  <li>
   Passion, curiosity, and growth mindset coupled with deep commitment to an open and collaborative working environment
  </li>
  <li>
   Fluency in English
  </li>
  <li>
   Client-first mentality
  </li>
  <li>
   Intense work ethic
  </li>
  <li>
   Collaborative spirit and problem-solving approach
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How you&rsquo;ll grow:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cross-functional skills development &amp; custom learning pathways
  </li>
  <li>
   Milestone training programs aligned to career progression opportunities
  </li>
  <li>
   Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Hybrid working model:
  <br/>
  <br/>
 </strong>
 ZS is committed to a
 <strong>
  Flexible and Connected
 </strong>
 way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
 <br/>
 <br/>
 <strong>
  Perks &amp; Benefits:
  <br/>
  <br/>
 </strong>
 ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
 <br/>
 <br/>
 We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
 <br/>
 <br/>
 <strong>
  Travel:
  <br/>
  <br/>
 </strong>
 Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
 <br/>
 <br/>
 <strong>
  Considering applying?
  <br/>
  <br/>
 </strong>
 At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
 <br/>
 <br/>
 If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
 <br/>
 <br/>
 ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
 <br/>
 <br/>
 <strong>
  To complete your application:
  <br/>
  <br/>
 </strong>
 Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
 <br/>
 <br/>
 NO AGENCY CALLS, PLEASE.
 <br/>
 <br/>
 Find Out More At:
 <br/>
 <br/>
 www.zs.com
</div>


Decision Analytics Associate Consultant - Bioinformatics

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs).<br>
<br>
As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.<br>
<br>
The ideal candidate is clearly 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 products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.<br>
<br>
Key job responsibilities<br>
<ul><li>Responsible for pre and post-training multimodal LLMs.</li><li>Scale training of models on hyper large GPU and AWS Trainium clusters</li><li>Optimize training workflows using distributed training/parallelism techniques
</li><li>Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O.</li><li>Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc)</li><li>Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility</li><li>Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances</li></ul><br>
About the team<br>
The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.</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>Master's degree in machine learning or equivalent</li><li>Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O.</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>
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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, Sunnyvale - 193,300.00 - 261,500.00 USD annually<br>
USA, MA, Boston - 168,100.00 - 227,400.00 USD annually<br>
USA, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually</div><p></p>

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