machine learning engineer

Georgia Tech

<div></div><div><div><div><div><div><ul><li>501085
</li> </ul></div><div></div><div><ul><li>Atlanta, Georgia
</li> </ul></div><div></div><div><ul><li>Machine Learning
</li> </ul></div><div></div><div><ul><li>Students: Undergraduate Student Asst. (SA)
</li> </ul></div></div><div></div><div><div><div>Add To Favorites
</div></div> <div></div><div>View Favorites
</div></div><div><h3 class="jobSectionHeader">Overview:</h3>

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.
<h3 class="jobSectionHeader">
Georgia Tech's Mission and Values</h3>

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
 
2. We strive for excellence.
 
3. We thrive on diversity.
 
4. We celebrate collaboration.
 
5. We champion innovation.
 
6. We safeguard freedom of inquiry and expression.
 
7. We nurture the wellbeing of our community.
 
8. We act ethically.
 
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
<h3 class="jobSectionHeader">
Job Description</h3>

The Advanced Research in Computing and AI Division (ARCAID) within the Information and Communications Laboratory (ICL) seeks a Student Assistant in the role of Machine Learning Engineer starting Fall 2026. This position involves both the development of models at a high level and the implementation of those models in a laboratory setting.

Duties include reading and understanding current research in specific areas of interest, using conventional tools and frameworks to train models and carry out experiments with them, and working at the interface between high-level programming and low-level hardware to deploy these models onto devices that perform real-time inference with streaming sensor data. Students will integrate feedback from laboratory experiments and will be expected to manipulate data sets that are simulated, received from others, or generated by sensor devices. Data curation and management skills are a plus.

This opportunity is in-person, with offices located in the CODA building of Tech Square in Midtown Atlanta. The ARCAID division maintains a collaborative environment with student researchers of all levels interacting in a shared space.
<h3 class="jobSectionHeader">
Required Minimum Qualifications</h3>
<ul><li>Experience with Python</li>
<li>Familiarity with Pytorch</li>
<li>Knowledge of software engineering practice including tools like git</li>
<li>Familiarity with Linux and Bash</li>
<li>Exposure to basic networking tools and concepts</li>
<li>Familiarity with common tools and procedures in machine learning, from data collection and cleaning to training and inference</li>
<li>Coursework in machine learning</li>
</ul>
Student Assistant
<ul>
<li>Pursuing a Bachelor&rsquo;s degree in Computer Science, Mathematics, or another related STEM discipline</li>
<li>Must be registered for at least 6 credit hours with your university</li>
<li>3.5 or higher cumulative GPA</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Atleast one year of experience using Linux in a classroom or professional setting</li>
<li>Knowledge of networking concepts</li>
<li>Expertise using git and version control SAAS, such as Gitlab or Github, as demonstrated by knowledge of pipelines, actions, and the general CI work flow</li>
<li>Experience building and deploying software in a Linux cluster environment</li>
<li>Experience with Linux cluster management software like Slurm (preferred) or PBS and associated tools like Environment Modules</li>
<li>Exposure to working directly with edge hardware, ASICs, FPGAs, or other low-level hardware</li>
<li>Exposure to digital logic</li>
<li>Significant participation in machine learning projects, whether in a classroom or professional setting, and the ability to speak clearly to the technical aspects of those projects</li>
</ul><h3 class="jobSectionHeader">Hours per Week</h3>

10&ndash;20 hours per week
<h3 class="jobSectionHeader">
U.S. Citizenship Requirements</h3>

Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.
<h3 class="jobSectionHeader">
Clearance Type Required</h3>

None
<h3 class="jobSectionHeader">
Housing and Relocation</h3>

Housing and relocation assistance are not available for this position.
<div>
<h2 class="jobSectionHeader">Equal Employment Opportunity</h2>
</div>
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. 
 
USG Core Values Statement

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.</div></div></div></div>

Machine Learning Student Assistant - Fall 2026 - ICL

Booz Allen Hamilton

<div>AL/ML Engineer, Lead
The Opportunity:
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Engineer, Lead

<div>The Opportunity:
As an experience d engineer, you know that machine learning ( ML ) and AI evaluation are critical to understanding and operationalizing massive datasets in support of public health and safety missions. Your ability to evaluate, optimize, and deploy AI-driven systems makes you an integral part of delivering mission-focused solutions for scientists, analysts, and leadership teams.
In this role, you&rsquo;ll help define and implement scientific AI evaluation and enablement initiatives by translating advanced AI capabilities into practical, mission-specific workflows. You&rsquo;ll collaborate with a large community of ML engineers, data scientists, architects, and product teams to design scalable ML and Generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks.
You&rsquo;ll apply technical expertise across AI evaluation, retrieval optimization, memory and state management, and AI agent architecture to support real-time insights and decision-making. Your work will also contribute to enterprise MLOps capabilities, data governance standards, and ethical AI practices within regulated public health environments. This position is located in Atlanta, GA.
What You'll Work On:
<ul><li>Build and maintain scalable data pipelines using PySpark and Palantir Foundry to support AI, analytics, and scientific evaluation workflows.</li>
<li>Design and implement ML and Generative AI workflows, including AI agents, RAG pipelines, and AI evaluation frameworks.</li>
<li>Integrate advanced AI technologies such as Codex and Claude, to support mission-specific workflows, real-time insights, and decision-making capabilities.</li>
<li>Develop evaluation strategies covering model quality, retrieval optimization, benchmarking, and performance monitoring for deployed AI systems.</li>
<li>Design AI architectures supporting memory, state management, structured and unstructured public health data interaction, and scalable agent orchestration.</li>
<li>Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI / ML systems and public health data environments.</li>
</ul>Join us. The world can&rsquo;t wait.
You Have:
<ul><li>5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications, and designing, developing, and deploying ML models and AI solutions using Python</li>
<li>3+ years of experience with AI agents and AI evaluation strategies in enterprise environments</li>
<li>2+ years of experience with Deep Research evaluation met hodologies and AI evaluation workflows</li>
<li>Experience with ML frameworks such as TensorFlow or PyTorch, for production-grade model development</li>
<li>Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li>
<li>Experience with MLOps platforms such as MLflow and cloud environments, including Azure</li>
<li>Knowledge of public health, healthcare, or government data systems and asso cia ted governance practices</li>
<li>Ability to design and optimize AI systems involving retrieval workflows, memory or state management, and real-time decision-support capabilities</li>
<li>Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
</li><li>Bachelor's degree in CS, Engineering, or Data Science</li>
</ul>Nice If You Have:
<ul><li>Experience working in healthcare, biomedical, or government public health AI / ML environments</li>
<li>Experience with conversational AI, chatbot systems, or full-stack AI application development</li>
<li>Experience with containerization, CI / CD, orchestration, and production MLOps pipelines</li>
<li>Experience with Agile delivery environments and tools such as Jira</li>
<li>Experience writing technical documentation and presenting AI / ML solutions to various audiences</li>
<li>Experience integrating enterprise AI tools such as Codex, Claude, or similar AI enablement platforms</li>
<li>Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li>
<li>Knowledge of AI systems for retrieval, ranking, and scientific evaluation use cases</li>
<li>Ability to collaborate effectively in matrixed, cross-functional organizations</li>
<li>Master's degree in CS, Data Science, ML, or a related field</li>
</ul>Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model
 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
<ul><li>Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
</li><li>Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
</li><li>Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
</li></ul>Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Evaluation Engineer

About Us
 
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
 
About Georgia Tech
 
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
 
Georgia Tech's Mission and Values
 
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
 
1. Students are our top priority.
 
2. We strive for excellence.
 
3. We thrive on diversity.
 
4. We celebrate collaboration.
 
5. We champion innovation.
 
6. We safeguard freedom of inquiry and expression.
 
7. We nurture the wellbeing of our community.
 
8. We act ethically.
 
9. We are responsible stewards.
 
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
 
Location
 
Atlanta, GA
 
Job Summary
 
Position Summary
 
The H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at the Georgia Institute of Technology seeks a highly motivated and creative Research Engineer to support and advance research in Extended Reality (XR). The Research Engineer is expected to exercise substantial intellectual leadership and be eager to play a key role in building a vibrant, externally funded research ecosystem at the intersection of engineering, XR, and human-centered systems. The Research Engineer will work closely with the Director of the Symbiotic and Augmented Intelligence Laboratory (SAIL), as well as collaborators across Georgia Tech, to lead and support research initiatives, mentor students, and actively pursue external funding.
 
Primary Responsibilities: 
The Research Engineer will lead and contribute to externally funded research activities aligned with SAIL's research initiatives, currently funded by an NSF RITEL grant. Responsibilities include:
 
Leading and contributing to research projects focused on XR, human machine/AI/robot collaboration and related human-centered engineering use cases.
 
Producing high-quality scholarly outputs, including peer-reviewed journal articles, conference papers, technical reports, and public-facing demonstrations.
 
Leading XR-based experimental studies, system development efforts, and validation activities in both laboratory and real-world settings.
 
Mentoring graduate and undergraduate students, including supervision of XR-related research projects and thesis/dissertation work when appropriate.
 
Initiating new research directions and partnerships that expand SAIL's research portfolio.
 
Required Qualifications
 
A Master's degree & 3 years of relevant full-time experience after completion of degree
 
A Master's degree & 5 years of relevant full-time experience after completion of a Bachelor's degree, or
 
Doctoral degree
 
Preferred Qualifications
 
PhD in Industrial Engineering, Systems Engineering, Human Computer Interaction, Computer Science, Mechanical Engineering, Robotics, or a closely related field.
 
Demonstrated experience conducting independent and collaborative research in XR, HCI, or human-centered engineering systems.
 
Strong track record or clear potential for securing external research funding.
 
Experience publishing in peer-reviewed journals and top-tier conferences.
 
Technical expertise in XR systems, experimental design, and data analysis.
 
Ability to work effectively in interdisciplinary research environments.
 
Experience managing or co-leading shared research facilities or labs.
 
Prior industry, government, or applied research experience.
 
Experience mentoring graduate and undergraduate researchers.
 
Familiarity with safety, ethics, and compliance considerations in human-subjects research.
 
Required Documents to Attach
 
Applicants should submit: 
An academic cover letter
 
A current curriculum vitae
 
The names and contact information for at least three references. Note: References will only be contacted for candidates invited to a second round interview.
 
Contact Information
 
For questions related to the job post, please contact Mohsen Moghaddam.
 
USG Core Values
 
The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct .
 
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 .
 
Equal Employment Opportunity
 
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
 
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
 
Background Check
 
A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest

Research Engineer II-LT

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Trainer Lead
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Evaluate and score AI-generated responses using well-defined rubrics and metrics across diverse subject areas.
 </li>
 <li>
 Annotate and categorize data sets to improve AI model accuracy and reliability.
 </li>
 <li>
 Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
 </li>
 <li>
 Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
 </li>
 <li>
 Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
 </li>
 <li>
 Document findings and maintain meticulous records of annotations and evaluations.
 </li>
 <li>
 Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Exceptional attention to detail and accuracy in data annotation and content evaluation.
 </li>
 <li>
 Strong critical reading and analytical skills with the ability to interpret and apply rubrics.
 </li>
 <li>
 Proficiency in written and verbal communication; ability to articulate nuanced feedback clearly.
 </li>
 <li>
 Bachelor&rsquo;s degree required.
 </li>
 <li>
 Experience in evaluating or scoring large volumes of content against detailed criteria.
 </li>
 <li>
 Experience with AI training, machine learning data annotation, or related tasks is highly valued.
 </li>
 <li>
 Ability to work independently and collaboratively in a fully remote environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Background in business, finance, legal, marketing, healthcare, or research fields.
 </li>
 <li>
 Prior experience in AI training, human-in-the-loop systems, or quality assurance of AI-generated content.
 </li>
 <li>
 Familiarity with industry-standard annotation tools or AI evaluation platforms.
 </li>
 </ul>
</div>

AI Trainer Lead - Remote

<div>AL/ML Technical Lead
The Opportunity:
As an AI/ML Technical Lead, you will define and drive the technical direction of mission-critical AI systems supporting Public Health and Safety. You will lead the design and implementation of scalable machine learning and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure reliability, safety, and mission alignment.
You will serve as a technical authority across a community of engineers, partnering with data engineers, architects, product owners, and stakeholders to shape enterprise AI strategy, architecture standards, and delivery practices. Your work will span end-to-end AI system design&mdash;from data pipelines and modeling to agent orchestration, memory or state management, retrieval optimization, and production deployment.
In this role, you will also lead the development of AI evaluation strategies, prompt engineering workflows, and governance frameworks using tools such as MCP, Prompt Buddy, Codex, Claude, and OpenEvidence. You will ensure systems are performant, explainable, secure, and compliant with public health data privacy and ethical standards. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Lead the design and development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications.</li><li>
Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines.</li><li>
Define AI evaluation frameworks covering performance benchmarking, retrieval optimization, safety validation, and production monitoring.</li><li>
Design and implement agent architectures with memory, state management, orchestration, and structured or unstructured data interaction.</li><li>
Integrate advanced AI tools such as Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms.</li><li>
Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying machine learning and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG systems in enterprise environments</li><li>
3+ years of experience with AI agents, MCP frameworks, or AI evaluation strategy development</li><li>
Experience with ML frameworks such as TensorFlow or PyTorch for production model development</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with MLOps platforms such as MLflow and cloud environments such as Azure or Databricks</li><li>
Experience integrating or working with AI tooling such as Codex, Claude, Prompt Buddy, or OpenEvidence in enterprise settings</li><li>
Knowledge of public health, healthcare, or government data systems and associated governance practices</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in Computer Science, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience working in healthcare, biomedical, or government public health AI/ML environments</li><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience with conversational AI, chatbot systems, or full-stack AI application development</li><li>
Experience with containerization, CI/CD, orchestration, and production MLOps pipelines</li><li>
Experience with Agile delivery environments and tools such as JIRA</li><li>
Experience writing technical documentation and presenting AI/ML architecture decisions to a broad range of audiences</li><li>
Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li><li>
Knowledge of AI systems for retrieval, ranking, and decision-support in high-stakes environments</li><li>
Ability to collaborate effectively in matrixed, cross-functional organization and design and deploy scalable AI systems involving retrieval optimization, memory or state management, and agent orchestration</li><li>
Master's degree in Computer Science, Data Science, AI/ML, or a related field</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Technical Lead

Reliable Forklift Sales

Job Overview Reliable Forklift Sales is a leading distributor of machinery and equipment, specialising in the sales, rentals, and service of forklifts and other material handling products. With a strong presence across North America, we are renowned for our commitment to excellent customer support and our comprehensive equipment offerings. We are currently seeking a talented and self-motivated Remote Software Engineer to join our team on a full-time basis. The successful candidate will play a crucial role in designing, developing, and maintaining the software solutions that drive our business forward, helping us to continue providing exceptional service to our diverse industrial clients. Responsibilities * Design, develop, and maintain robust and scalable software applications that support our core business operations. * Collaborate with cross-functional teams, including sales and operations, to analyse requirements and translate business needs into technical solutions. * Write clean, efficient, and well-documented code that adheres to industry best practices. * Troubleshoot, debug, and upgrade existing systems to ensure optimal performance and reliability. * Participate fully in the entire software development lifecycle, from initial concept and design through to deployment and support. * Develop and maintain technical documentation to ensure systems are well-understood and maintainable. * Stay current with emerging technologies and propose new solutions to enhance our software portfolio. Qualifications * Proven experience working as a Software Engineer in a professional environment. * Strong proficiency in modern programming languages such as Python, Java, C#, or JavaScript. * Solid experience with relational and non-relational database technologies. * A comprehensive understanding of software development principles, design patterns, and best practices. * Excellent analytical and problem-solving skills with a high degree of attention to detail. * The ability to work independently and manage time effectively in a remote setting. * Strong verbal and written communication skills, with an ability to articulate complex technical concepts clearly. * A Bachelor's degree in Computer Science, Engineering, or a related field is desirable. * Experience with cloud platforms (e.g., AWS, Azure) is considered an advantage. Benefits * A competitive hourly wage of $30 - $65 USD, commensurate with experience. * A fully remote position, offering flexibility and an excellent work-life balance. * The opportunity to work on meaningful projects that have a direct impact on the company's success. * A supportive and collaborative team environment that encourages continuous learning and professional development.

Remote Software Engineer

Explore 40+ Machine learning engineer in Atlanta this July. Find roles across top companies and apply now to boost your career.