machine learning manager

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 Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. The manager will lead research in areas related to HIL data impact to LLM models, and define utility measurement strategies for data generated by AGI-DS for Nova models.
<br>
<br>
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.<br>
<br>
A day in the life<br>
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of scientists or machine learning engineers management experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</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.<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, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually</div><p></p>

Applied Science Manager, Artificial General Intelligence , Quality Automation

Leuwint

<div><div><div><p>We are hiring an AI Success Manager (6+ Years Experience).
</p></div>Skills
<div><p>Strong knowledge of machine learning lifecycle.<br>
Basic understanding of data engineering &amp; model development.<br>
Familiarity with Python/R (plus DataRobot is a bonus).<br>
Good stakeholder management, leadership &amp; communication skills.<br>
</p></div>Location
<div><p>Riyadh, Saudi Arabia</p></div></div></div><p></p>

AI Success Manager

PepsiCo

<div>Overview:
<div>
We&rsquo;re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda. You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.</div>
Responsibilities:
<ul><li>Lead, mentor, and grow a team of data scientists, providing technical guidance and career development</li><li>
Own the end-to-end delivery of large-scale analytics and machine learning initiatives</li><li>
Define standards and best practices for model development, data pipelines, and ML production workflows</li><li>
Oversee the design, deployment, monitoring, and optimization of machine learning systems in production</li><li>
Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes</li><li>
Drive adoption of modern techniques, including Generative AI, where they deliver clear business value</li><li>
Communicate technical concepts, progress, and impact effectively to business and technical audiences</li></ul><div><b>
Compensation and Benefits:</b></div><ul><li>
The expected compensation range for this position is between $120,300 - $205,150.<br>
</li><li>
Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.<br>
</li><li>
Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.<br>
</li><li>
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.<br>
</li><li>
In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.</li></ul>
Qualifications:
<ul><li>Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or equivalent</li><li>
5+ years of experience in data science, with leadership or people-management responsibility</li><li>
Proven experience delivering machine learning solutions using diverse data sources</li><li>
Strong Python skills and ability to guide production-quality ML code</li><li>
Solid understanding of software engineering, data engineering, and MLOps best practices</li><li>
Experience with deep learning frameworks (TensorFlow or PyTorch)</li><li>
Strong foundation in statistical and mathematical modeling</li><li>
Experience with cloud-based and distributed computing platforms</li><li>
Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures</li></ul>
&gt;:
<div>
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.</div><div></div><div><br>
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</div><div></div><div><br>
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.</div><div></div><div><br>
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law &amp; EEO is the Law Supplement documents. View PepsiCo EEO Policy.</div><div></div><div><br>
Please view our Pay Transparency Statement</div></div>

Data Science Associate Manager

Waystar

<div><div>ABOUT THIS POSITION</div><div></div>
As the Sr. Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar&rsquo;s AltitudeAI&trade; platform and healthcare revenue cycle management (RCM) products. This role requires strong handson expertise in machine learning, a passion for mentoring, and the ability to deliver productiongrade solutions that improve customer outcomes in a regulated environment. The ideal candidate excels in dynamic, fastmoving environments and is comfortable creating clarity where direction may be shifting or evolving.<div></div><div>
WHAT YOU'LL DO</div><div><div>
Team Leadership &amp; Project Execution</div></div><div><ul><li><div>
Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.</div></li></ul></div><div><ul><li><div>
Manage daytoday operations of data science initiatives, ensuring timely delivery and alignment with strategic and product objectives.</div></li></ul></div><div><ul><li><div>
Oversee the development, implementation, and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings.</div></li></ul></div><div><ul><li><div>
Collaborate closely with product, engineering, and analytics teams to integrate data science solutions into core platform offerings.</div></li></ul></div><div><ul><li><div>
Ensure structured communication and alignment across crossfunctional teams, helping drive clarity and consistency in direction and decisionmaking.</div></li></ul></div><div><div>
Technical Execution &amp; Innovation</div></div><div><ul><li><div>
Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM.</div></li></ul></div><div><ul><li><div>
Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection.</div></li></ul></div><div><ul><li><div>
Support the evaluation and adoption of new technologies and tools to enhance data science capabilities.</div></li></ul></div><div><ul><li><div>
Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models.</div></li></ul></div><div><ul><li><div>
Effectively manage ambiguity and navigate evolving requirements to ensure highquality technical outcomes.</div></li></ul></div><div><div>
Collaboration &amp; Communication</div></div><div><ul><li><div>
Communicate technical findings, project status, and risks to stakeholders, including product managers and engineering leads.</div></li></ul></div><div><ul><li><div>
Contribute to the development of technical documentation and best practices for the data science team.</div></li></ul></div><div><ul><li><div>
Support the team&rsquo;s professional development through coaching, training, and knowledge sharing.</div></li></ul></div><div></div><div>
WHAT YOU'LL NEED</div><div><ul><li><div>
Master&rsquo;s degree in Computer Science, Statistics, Math, Data Science, or a related quantitative field.</div></li></ul></div><div><ul><li><div>
7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role.</div></li></ul></div><div><ul><li><div>
Handson expertise in the full machine learning lifecycle, including model development, deployment, and monitoring.</div></li></ul></div><div><ul><li><div>
Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.</div></li></ul></div><div><ul><li><div>
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).</div></li></ul></div><div><ul><li><div>
Experience working with healthcare, financial, or claims data is a plus.</div></li></ul></div><div><ul><li><div>
Excellent communication and collaboration skills.</div></li></ul></div><div></div><div><div>
ABOUT WAYSTAR</div><div></div><div>
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.</div><div>
Waystar&rsquo;s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic &amp; fun.</div><div></div><div>
Waystar products have won multiple Best in KLAS&reg; or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book&trade; surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit <div>waystar.com</div> or follow <div>@Waystar</div> on Twitter.</div></div><div></div><div>
WAYSTAR PERKS</div><ul><li>
Competitive total rewards (base salary + bonus, if applicable)</li><li>
Customizable benefits package (3 medical plans with Health Saving Account company match)</li><li>
We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays</li><li>
Paid parental leave (including maternity + paternity leave)</li><li>
Education assistance opportunities and free LinkedIn Learning access</li><li>
Free mental health and family planning programs, including adoption assistance and fertility support</li><li>
401(K) program with company match</li><li>
Pet insurance</li><li>
Employee resource groups</li></ul><div></div><div>
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</div><div>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div></div>

Sr Manager, Data Scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
JPMorgan Chase is a global leader in financial services, providing solutions to millions of customers, small businesses, and many of the world's most prominent corporate, institutional, and government clients. We are committed to leveraging cutting-edge technology, including artificial intelligence, to drive innovation and enhance customer experiences.</p><p>
We are seeking a highly skilled and experienced, AI Analytics Solutions Manager within JPMorgan Chase in Cybersecurity Technology &amp; Controls. You will contribute to our AI development efforts. The ideal candidate will have a strong background in (AI) artificial intelligence, (ML) machine learning, and data science, with a proven track record of leveraging popular AI products and services to deliver impactful solutions. This role requires a strategic thinker with the ability to drive AI initiatives that are innovative and align to our Technology Risk and Resiliency Goals.</p><p><b>
Job Responsibilities:</b></p><ul>
<li>Hands on coding to bring the experimental results into production solutions by collaborating with engineering team.</li>
<li>Owning end to end code development for both proof of concept/experimentation and production-ready solutions.</li>
<li>Contribute to the development and implementation of AI strategies that align with JPMorgan Chase's objectives and drive innovation.</li>
<li>Design, develop, and deploy AI models and solutions.</li>
<li>Collaborate with cross-functional teams to integrate AI technologies into existing products and services.</li>
<li>Ensure the scalability, performance, and security of AI solutions.</li>
<li>Implement technology risk controls to safeguard AI systems and data integrity.</li>
<li>Develop and maintain business continuity plans to ensure the resilience and availability of AI services.</li>
<li>Foster a culture of continuous learning and improvement.</li></ul><p><b>
Required qualifications, capabilities, and skills:</b></p><ul>
<li>Obtain 6+ years of experience in AI/ML development and application knowledge with a Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, Computer Science, Engineering, or similar STEM discipline.</li>
<li>Strong understanding of GenAI and LLM technologies and their applications.</li>
<li>Experience with AI/ML frameworks and libraries.</li>
<li>Proven experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or Keras.</li>
<li>Familiarity with cloud-based AI services such as AWS SageMaker, Google AI Platform, or Microsoft Azure AI.</li>
<li>Proficiency in programming languages such as Python or R for AI/ML model development/deployment.</li>
<li>Ability to translate complex technical concepts into clear documentation and presentations.</li>
<li>Strong problem-solving skills and a creative approach to AI/ML application.</li>
<li>Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.</li>
<li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.</li></ul><p><b>
Preferred qualifications, capabilities, and skills:</b></p><ul>
<li>Experience with natural language processing (NLP) and computer vision technologies.</li>
<li>Knowledge of big data technologies such as Hadoop, Spark, or Kafka.</li>
<li>Experience in deploying AI models in production environments.</li>
<li>Experience in implementing technology risk controls and business continuity planning.</li></ul><p>
</p><p><b>#CTC</b></p><p>
</p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Analytics Solutions Manager

Los Alamos National Laboratory

<div><b>What You Will Do</b><br>
<br>
This position is a unique opportunity to operate at the center of execution for the Capital Construction Project Portfolio supporting plutonium pit production facilities at Los Alamos National Laboratory (LANL). This role is critically important to the safe, secure, and efficient execution of mission-essential infrastructure programs.<br>
This is a unique opportunity to operate at the center of mission-critical infrastructure execution while shaping and advancing AI capabilities across a complex, multi-year portfolio of strategic programs.<br>
The Artificial Intelligence R&amp;D Manager will provide strategic and technical leadership for the development and deployment of Artificial Intelligence (AI) and Machine Learning (ML) solutions that enhance business systems, optimize operations, and strengthen infrastructure execution performance. The selected candidate will provide both technical AI leadership and strategic program management for a portfolio of related activities that support infrastructure modernization and operational excellence.<br>
<br>
You will:<br>
<ul><li>
Conduct analysis of intelligent systems and develop AI/ML models and algorithms to deliver effective business and technical solutions.</li><li>
Partner closely with application developers, product owners, integrated project teams, project managers, and senior leadership to enable AI-enhanced business applications.</li><li>
Ensure timely and successful delivery of innovative digital solutions aligned with Laboratory priorities.</li><li>
Build cross-organizational collaborations to support the plutonium pit production mission.
</li><li>Help establish and execute a long-term vision and strategic direction for AI-enabled production delivery.</li></ul><br>
<b>
What You Need</b><br>
<br>
<b>Minimum Job Requirements:</b><br>
<br>
<b>Mission Execution &amp; Program Support</b><br>
<ul><li>
Support senior leadership in execution of AI-enabled capabilities that advance infrastructure and capital project portfolio objectives.</li><li>
Monitor and report progress against Artificial Intelligence R&amp;D objectives, including scope, technical performance, schedule, and budget.</li><li>
Contribute to budget planning, resource alignment, and strategic partnerships to ensure cost-effective and mission-aligned outcomes.</li></ul><br>
<b>
AI Research, Development &amp; Deployment</b><br>
<ul><li>
Design, develop, and deploy advanced AI/ML solutions and data analytics capabilities that optimize business processes, enhance capital project execution, and improve operational performance.</li><li>
Develop and maintain Retrieval Augmented Generation (RAG) pipelines by integrating large language models (LLMs) (e.g., OpenAI, Anthropic) with enterprise document repositories and vector databases; leverage project management and operational data to support AI-enabled insights.</li><li>
Build connectors, middleware, APIs, and backend/frontend services to access, transform, and deliver real-time operational data for LLMs, analytics platforms, and user-facing applications.</li><li>
Orchestrate multiple models and tools into reliable, multi-step AI systems; build and maintain the internal infrastructure required to power, monitor, and scale these solutions.</li><li>
Implement and optimize AI-driven tools for forecasting, modeling, safety analytics, quality control, and workflow automation.</li><li>
Define, track, and communicate key performance indicators (KPIs); develop automated dashboards and visualization tools; translate complex technical data into executive-level insights while ensuring enterprise data integrity and consistency.</li><li>
Evaluate emerging AI technologies and guide secure, mission-aligned integration across enterprise systems in a high-consequence environment.</li></ul><br>
<b>
Communication<br>
</b><br>
<br>
<ul><li>Consultative experience in developing and nurturing effective high-level external and internal customer relationships
</li><li>Collaborate with data engineering teams to integrate virtualized data sources into AI workflows</li></ul><br>
<b>
Collaboration</b><br>
<ul><li>
Partner with application developers and stakeholders across operational areas to help identify opportunities to leverage AI tools that reduce manual workflows.</li><li>
Consultative experience in interacting effectively with all levels of external and internal personnel; building trust, gaining consensus, and resolving conflicts
</li></ul><br>
<b>Strategic Foresight</b><br>
<ul><li>
Use independent judgment to identify strategic shifts relevant to the institutional mission and position resources accordingly</li><li>
Track-record of building reliable project management AI driven data with attention to quality and detail</li></ul><br>
<b>
Risk Management</b><br>
<br>
<br>
<ul><li>Identify portfolio risks, develop mitigation strategies, and recommend acceptance or avoidance actions</li><li>
Design and maintain a suite of evaluations and benchmarks to measure AI agent accuracy, reliability, and cost-effectiveness</li></ul><br>
<b>
Program Oversight</b><br>
<ul><li>
Partner with project and line management to ensure performance, monitoring cost, schedule, and milestones</li></ul><br>
<b>
Clearance<br>
</b><br>
<br>
<ul><li>Active U.S. DOE Q Clearance or ability to obtain a U.S. DOE Q clearance (U.S. Citizenship Required)</li></ul><br>
<b>
Strategic Leadership &amp; Organizational Oversight</b><br>
<ul><li>
Assist in developing and executing the long-term strategic vision and technical roadmap aligned with Laboratory priorities and evolving national security missions.</li><li>
Implement Integrated Safety Management (ISM) responsibilities by integrating safety, security, quality, environmental stewardship, and worker health into all activities; model exemplary behavior and exercise stop-work authority when necessary.</li><li>
Ensure compliance with DOE contract requirements and Laboratory policies; recommend and implement process improvements as appropriate.</li></ul><br>
<b>
Education/Experience:
</b><br>
Position requires a bachelor's degree from an accredited institution and 5 years related experience; or, an equivalent combination of education and experience directly related to the occupation.<br>
<br>
<b>Desired Qualifications:</b><br>
<ul><li>
Advanced technical expertise in Artificial Intelligence, Machine Learning, data analytics, or digital engineering, including experience integrating AI capabilities into enterprise systems and operational environments.</li><li>
Project Management Professional (PMP) certification strongly preferred, reflecting formal training in project management best practices.
</li><li>Demonstrated experience developing or overseeing Retrieval Augmented Generation (RAG) architectures, LLM integrations, secure data pipelines, or enterprise AI infrastructure within a regulated environment.</li><li>
Proven ability to define and track key performance indicators (KPIs), develop executive-level dashboards, and translate complex technical data into strategic insights for senior leadership.</li><li>
Strong record of strategic planning, organizational development, and aligning emerging technologies with evolving institutional and national priorities.</li><li>
Advanced experience managing construction projects including proactively managing project scope, schedule and budget including use of Earned Value Management Systems (EVMS). Demonstrated successful experience identifying potential project risks, developing risk mitigation strategies and corrective actions, and recommending risk acceptance/avoidance for all aspects of a project</li><li>
Expert knowledge of regulatory requirements related to programmatic work of assigned portfolio(s)</li><li>
Experience or knowledge in management of projects (including capital line-item projects) at a Department of Energy and/or National Nuclear Security Administration Contractors' facility</li></ul><br>
<b>
Work Location:</b> The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.<br>
<br>
<b>Position commitment:</b> Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
<br>
<br>
<b>Note to Applicants:</b><br>
<ul><li>
For full consideration, applicants should submit a cover letter addressing how their knowledge, skills and abilities meet the minimum requirements along with a resume.</li><li>
Occasional travel may be required</li></ul>
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents (&quot;green card&quot; holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.<b>Where You Will Work</b><br>
<br>
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:<br>
<br>
&sect; PPO or High Deductible medical insurance with the same large nationwide network<br>
<br>
&sect; Dental and vision insurance<br>
<br>
&sect; Free basic life and disability insurance<br>
<br>
&sect; Paid childbirth and parental leave<br>
<br>
&sect; Award-winning 401(k) (6% matching plus 3.5% annually)<br>
<br>
&sect; Learning opportunities and tuition assistance<br>
<br>
&sect; Flexible schedules and time off (PTO and holidays)<br>
<br>
&sect; Onsite gyms and wellness programs<br>
<br>
&sect; Extensive relocation packages (outside a 50 mile radius)<br>
<b>Additional Details</b><br>
<br>
<b>Directive 206.2 </b>- Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.<br>
<br>
<b>Clearance:</b><b> Q </b>(Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.<br>
<br>
<ul><li>Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.</li></ul><br>
<b>
New-Employment Drug Test:</b> The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
<br>
<br>
<b>Regular position: </b>Term status Laboratory employees applying for regular-status positions are converted to regular status.<br>
<br>
<b>Internal Applicants: </b>Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.<br>
<br>
<b>Incentive Compensation Program:</b> Position is eligible to participate in the Triad Incentive Compensation Program. You must be in an eligible position for a minimum of 3 months, before July 1st and remain in an eligible position as of the end of the fiscal year, September 30th. The annual distribution is prorated based on the number of months in the eligible position.
<br>
<b>Equal Opportunity: </b>Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.</div>

AI Engineer (R&D Manager 3)

Atlas Roofing Corporation

<div><p><b>Job Title:</b> Data Engineer Co-op
<br>
<b>Location:</b> Meridian, MS
<br>
<b>Duration:</b> One term Co-op starting in July 2026
<br>
<b>Department:</b> Engineering / Operations
<br>
<b>Reports To:</b> Nicki Vaughn, Plant Manager
</p><p></p><p>We are seeking a skilled <b>Data Engineer Intern</b> for our <b>Meridian, MS, Web Technologies plant</b> with strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, and maintaining data pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration&mdash;particularly within industrial or manufacturing environments.
</p><p><b>Data Engineer Co-op Key Responsibilities</b>
</p><ul><li>Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases.
</li><li>Build and maintain data pipelines that integrate machine learning outputs into operational systems.</li>
<li>Develop and maintain Ignition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems.
</li><li>Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions.
</li><li>Write, optimize, and maintain complex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases.
</li><li>Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure.
</li><li>Ensure data quality, performance, and reliability across databases and analytics platforms.
</li></ul><p><b>Data Engineer Co-op</b> <b>Required Skills &amp; Qualifications</b>
</p><ul><li>Second-semester freshman standing or higher
</li><li>2 GPA or higher
</li></ul><p><b>Machine Learning &amp; Analytics</b>
</p><ul><li>Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li>
<li>Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).</li>
<li>Ability to deploy machine learning models into production environments.</li>
</ul>
<p><b>Automation &amp; Ignition</b>
</p><ul><li>Hands-on experience with Ignition (Inductive Automation), including scripting and automation.</li>
<li>Proficiency in Ignition scripting using Python (Jython).
</li><li>Experience in integrating Ignition with databases and external systems.</li>
</ul>
<p><b>Programming &amp; Databases</b>
</p><ul><li>Strong proficiency in Python for data processing, automation, and machine learning.</li>
<li>Experience using R for statistical analysis and data visualization.</li>
<li>Advanced SQL skills with MS SQL and Oracle SQL.
</li><li>Solid understanding of relational database design, data modeling, and performance tuning.</li>
</ul>
<p><b>Data Engineer Co-op Preferred Qualifications</b>
</p><ul><li>Experience in industrial, manufacturing, or automation-focused environments.
</li><li>Familiarity with SCADA systems and operational technology (OT) data.</li>
<li>Experience integrating analytics or machine learning solutions into real-time systems.
</li></ul><p><b>What We Offer</b>
</p><ul><li>Opportunity to work on data-driven automation and machine learning solutions.</li>
<li>Collaborative, cross-functional work environment
</li><li>Exposure to cutting-edge industrial analytics and automation technologies
</li></ul><p><b>Atlas Total Compensation</b>
</p><ul><li>Hourly Wages
</li><li>Second Semester Freshman: $18-19/hr.
</li><li>Sophomore: $19-21/hr.
</li><li>Jr: $20-23/hr.
</li><li>Senior: $21-25/hr.
</li><li>Housing Assistance Provided
</li></ul><p><b>Resume Submittal</b>
</p><ul><li>Interested? To submit your resume, scan below.</li></ul></div><p></p>

Data Engineer Co-op

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