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machine learning engineer

WilmerHale

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
  </li>
  <li>
   Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
  </li>
  <li>
   Optimizes existing generative AI models for improved performance, scalability, and efficiency.
  </li>
  <li>
   Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
  </li>
  <li>
   Contributes to the establishment of best practices and standards for AI development within the organization.
  </li>
  <li>
   Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
  </li>
  <li>
   Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
  </li>
  <li>
   Provides technical mentorship and guidance to other team members.
  </li>
  <li>
   Creates and delivers end-user training and documentation and provides second-line support to other users.
  </li>
  <li>
   Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
  </li>
  <li>
   Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
  </li>
  <li>
   Participates in special projects and performs other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <strong>
  What You Will Bring to This Position
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
  </li>
  <li>
   Experience building recommendation models.
  </li>
  <li>
   Strong knowledge of data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Familiar with cloud-based platforms and services, such as Azure or AWS.
  </li>
  <li>
   Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
  </li>
  <li>
   Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
  </li>
  <li>
   Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
  </li>
  <li>
   Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
  </li>
  <li>
   Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
  </li>
  <li>
   Willingness and ability to learn and use new technologies as the need arises.
  </li>
  <li>
   Ability to work effectively with both users and technical staff in team-oriented environments.
  </li>
  <li>
   Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
  </li>
  <li>
   Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
  </li>
  <li>
   A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
  </li>
  <li>
   Hands-on experience with LLMs fine-tuning is a plus.
  </li>
  <li>
   Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
  </li>
  <li>
   The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
  </li>
  <li>
   2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
  </li>
  <li>
   4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
  </li>
  <li>
   Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Commitment
  <br/>
  <br/>
 </strong>
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 <br/>
 <br/>
 For more information about Equal Employment Opportunity, please click here.
 <br/>
 <br/>
 Hire in salary range is $135,000 - $169,000
 <br/>
 <br/>
 <ul>
  <li>
   For additional information about our benefits, please click here
   <br/>
   <br/>
  </li>
 </ul>
 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
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</div>


Artificial Intelligence (AI) Engineer

Software Engineer, Machine Learning

Chewy

<div><p>Job Description:</p><p></p><p><b>
Data Scientist III</b></p><p><b>
Boston, MA &ndash; </b>Customer Service <b>&ndash; Full time &ndash; </b><b>R29580</b></p><p></p><p><b>
Job Description:</b></p><p></p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Develop machine learning infrastructure and data pipelines that improve data quality.
</li><li>Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies.
</li><li>Identify opportunities for data science to improve current products and practices for business engineering teams.
</li><li>Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
</li><li>Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.
</li><li>Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
</li><li>Establish collaborative working relationships at all levels across various functional teams.</li></ul><p></p><p><b>
What you&rsquo;ll need:</b></p><ul><li>
Minimum Requirements: Master&rsquo;s degree in Data Science, Analytics, Engineering, or related field of study and 4 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Alternate Education and Experience: PhD in Data Science, Analytics, Engineering, or related field of study and 2 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Full term of experience must include:<ul><li>
Manage the entire data science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering;</li><li>
Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms;</li><li>
R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker;</li><li>
Object-oriented programming with Python; and</li><li>
Data visualization tools and packages (Tableau or similar).</li></ul></li></ul><p></p><p><b>
Employer:</b> Chewy, Inc.</p><p><b>
Office Address:</b> 343 Congress Street, Floor 5, Boston, MA 02210</p><p><b>
Req:</b> R29580</p><p></p><p><b>
The </b><b>base salary range for this role is</b> $161,803 to $229,000 per year</p><p></p><ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul><p><br>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p><br>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><ul><li><p><br>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Data Scientist III

Wayfair

<div><div><div>Salary Range: $176,000 - $184,250 per year. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the annual base salary only and do not include equity.<br>
<br>
<b>Who We Are:</b></div><div></div><div><br>
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this, Wayfair builds and leverages cutting-edge Machine Learning and AI products. Within the broader Science Org, the Supply Chain and Retail Technology (SCRT) Science team drives growth by tackling fundamental challenges pertaining to supply chain and post-order customer experience; for example, building end-to-end systems to predict delivery dates at different points in the shopping funnel, optimizing for customer trust and key operational KPIs, while accounting for dynamic changes in the delivery network.<br>
</div><div></div><br>
<div>Some of the other key projects our team works on include:</div>
<ul>
<li><div>Graph Neural Network based Policy Abuse detection: GNN model that is robust to sophisticated identity manipulation (Blog)</div></li>
<li><div>
Personalization: Uplift model for predicting the effectiveness of different customer service policy</div></li>
</ul>
<ul><li><div>Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund</div></li></ul><div></div><div><br>
We are looking for a strong Machine Learning Scientist with deep technical expertise and a proactive, action-oriented mindset. In this role, you will be instrumental in developing and refining the advanced models and systems that power our core mission. You will work in close collaboration with a highly capable, cross-functional team to tackle complex, high-impact challenges and help pioneer innovative solutions.</div><div></div><div><b><br>
What You&rsquo;ll Do:</b></div><br>
<div></div><ul>
<li><div>
Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value</div></li>
<li><div>
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.</div></li>
<li><div>
Work cross-functionally with product managers and commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI</div></li>
<li><div>
Collaborate closely with cross-functional engineering partners</div></li>
<li><div>
Develop key success metrics and build evaluation frameworks to regularly assess model output quality</div></li></ul><br>
<div></div>
<div><b>
We Are a Match Because You Have:</b></div><br>
<div></div><ul>
<li><div>
PhD with 0-1+ years of experience or Master&rsquo;s in a STEM field (Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative field) with 2+ years of full-time industry experience in applied research</div></li>
<li><div>
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.</div></li>
<li><div>
Professional coding expertise in Python, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and version control best practices.</div></li>
<li><div>
Strong written and verbal communication skills with an ability to articulate complex technical concepts to technical and non-technical audiences while collaborating within and across teams.</div></li></ul><br>
<div></div>
<div><b>
Nice to Have:</b></div><br>
<div></div><ul>
<li><div>
Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow)</div></li>
<li><div>
Experience with containerization tools (Docker)</div></li>
<li><div>
Familiarity with causal inference, multi-armed bandits, personalisation</div></li>
<li><div>
Hands-on experience with LLMs</div></li></ul><br>
<div></div>
<div><b>
Why You will Love Working With Us</b></div>
<div></div>
<ul><li><div>Fun team outings like kayaking the Charles and Boda Borg,</div></li>
<li><div>
Early adopters of new technology within Wayfair</div></li>
<li><div>
Hackathons to explore new ideas</div></li>
<li><div>
Time Off:</div></li>
<li><ul>
<li><div>Paid Holidays</div></li>
<li><div>
Paid Time Off (PTO)</div></li>
</ul></li>
<li><div>Health &amp; Wellness:</div></li>
<li><ul>
<li><div>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</div></li>
<li><div>
Life Insurance</div></li>
<li><div>
Disability Protection (Short Term &amp; Long Term Disability)</div></li>
<li><div>
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</div></li>
<li><div>
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</div></li>
<li><div>
Caregiver Services</div></li>
</ul></li>
<li><div>Financial Growth &amp; Security:</div></li>
<li><ul>
<li><div>401K Matching (Employee Matching Program)</div></li>
<li><div>
Tuition Reimbursement</div></li>
<li><div>
Financial Health Education (Knowledge of Financial Education - KOFE)</div></li>
<li><div>
Tax Advantaged Accounts</div></li>
</ul></li>
<li><div>Family Support:</div></li>
<li><ul>
<li><div>Family Planning Support</div></li>
<li><div>
Parental Leave</div></li>
<li><div>
Global Surrogacy &amp; Adoption Policy</div></li>
</ul></li>
<li><div>Professional Development &amp; Recognition:</div></li>
<li><ul>
<li><div>Rewards &amp; Recognition</div></li>
<li><div>
Global Employee Anniversary Awards</div></li>
<li><div>
Paid Volunteer Work</div></li>
</ul></li>
<li><div>Unique Perks:</div></li>
<li><ul>
<li><div>Employee Discount</div></li>
<li><div>
U.S. Bluebikes Membership</div></li>
<li><div>
Global Pod Outings</div></li></ul></li></ul><br>
<div><br>
</div><div>This is a hybrid position based in Boston, MA. Our teams are in-office Tuesday-Thursday and remote on Monday and Friday.</div>
</div><div>
<p><b>Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist II - Supply Chain AI

Analog Devices

<div><p><b>About Analog Devices
</b></p><p>Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible&trade;. Learn more at www.analog.com and on LinkedIn and Twitter (X) .</p><br>
<p></p><p><b>Employer: </b>Analog Devices, Inc.</p>
<p><b>Job Title: </b>Senior Research Scientist, Machine Learning</p>
<p><b>Job Requisition: </b>1010.292.5 / R262485
</p><p><b>Job Location: </b>Boston, Massachusetts</p>
<p><b>Job Type: </b>Full Time</p>
<p><b>Rate of Pay:</b> $170,445 - $216,000 per year</p>
<p><b>Duties: </b>Design, implement, and optimize novel Machine Learning (&ldquo;ML&rdquo;) algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments. Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.</p>
<p></p><p>Partial telecommute benefit (up to 2 days/week work from home).</p>
<p></p><p><b>Requirements: </b>Must have a Master&rsquo;s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.</p>
<p></p><p>Must also possess the following (quantitative experience requirements not applicable to this section):</p>
<ul><li>Demonstrated Expertise (&quot;DE&quot;) in machine learning (&quot;ML&quot;) algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax;</li>
<li>DE developing and applying neural networks, deep learning, transformers, and Large Language ML models; and</li>
<li>DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.</li>
</ul><p></p><p><b>Contact: </b>Eligible for employee referral program. Apply online at https://www.analog.com/en/about-adi/careers.html and Reference Position Number: R262485 .</p>
<p></p><p><i>For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position &ndash; except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) &ndash; may have to go through an export licensing review process.
</i></p><p></p><p><i>Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
</i></p><p></p><p><i>EEO is the Law: </i><i>Notice of Applicant Rights Under the Law </i><i>.
</i></p>Job Req Type: Experienced<br>
<p></p>Required Travel: No<br>
<p></p>Shift Type: 1st Shift/Days
<p></p><ul><li><p>Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.</p>
</li><li><p>This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.</p>
</li><li><p>This position includes medical, vision and dental coverage, 401k, paid vacation, <b>holidays, and sick time </b>, and other benefits.</p></li></ul></div><p></p>

Senior Research Scientist, Machine Learning

FocusKPI Inc.

<div><p>We are seeking an <b>Agentic AI Engineer</b> to support the development of a customized AI agent solution for one of our clients.<br>
<br>
We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements &mdash; understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work &mdash; building agents that go live, with real clients, on real timelines.<br>
<br>
<b>Environment:</b><br>
<br>
We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding.<br>
<br>
If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk.<br>
<br>
<b>Work Location:</b><b> </b>Remote position (40 hours per week)<br>
<b>Duration:</b> Full-time role<br>
<b>Pay-rate:</b> $30+/hr<br>
<br>
<b>**No C2C resumes are considered**</b><br>
<br>
<b>Responsibilities:</b></p><ul><li>
Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage</li><li>
Design and build custom AI agent solutions tailored to each client's stack, data, and constraints</li><li>
Own full delivery &mdash; from architecture and prompt design to tool integration, testing, and handoff</li><li>
Build evals and monitoring so clients can trust what's running in production</li><li>
Move across engagements &mdash; you'll context-switch between clients and industries</li></ul><p><b>
Qualifications:</b></p><ul><li>
A minimum of <b>2 years</b> of experience is required</li><li><b>
Education requirements:</b> Master's degree</li><li><b>
Mandatory skills:</b> Agentic AI, Claude, LLM</li><li>
Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK</li><li>
Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines</li><li>
Translating a client's messy real-world process into a structured agent design</li><li>
Communicating clearly with non-technical stakeholders &mdash; you can explain what you're building and why</li><li>
Delivering under real project constraints &mdash; timelines, client expectations, shifting requirements</li></ul><p><b>
Nice to have:</b></p><ul><li>
Experience building agents for GTM use cases &mdash; sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations</li><li>
Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools</li></ul><p></p><p>
Thank you!</p><p>
FocusKPI Hiring Team</p><p>
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.</p><p>
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The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p><p>
</p><p>DC4HSZaJiV</p></div>

Agentic AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
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Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
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A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</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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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, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

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