deep learning engineer

Brain Bolt Consulting

<div>
 <ul>
 <li>
 AI/ML Engineer, minimum 8+ yrs of experience Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit‑learn)
 </li>
 <li>
 Hands‑on experience with machine learning algorithms (regression, classification, clustering, ensembles) Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras)
 </li>
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 Working knowledge of data preprocessing, feature engineering, and model evaluation
 </li>
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 Experience building and consuming REST APIs (Flask, FastAPI, or similar)
 </li>
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 Database experience with SQL or NoSQL Version control using Git and collaborative development practices
 </li>
 </ul>
</div>

Data Scientist - AI/ML

Winaxis LLC

<div>
 
 About The Role
 
 
 
 We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, train, and optimize Machine Learning and Deep Learning models.
 </li>
 <li>
 Build and maintain scalable data pipelines for model training and inference.
 </li>
 <li>
 Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
 </li>
 <li>
 Deploy machine learning models into production environments using MLOps best practices.
 </li>
 <li>
 Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
 </li>
 <li>
 Monitor model performance and implement continuous improvements.
 </li>
 <li>
 Research and evaluate emerging AI technologies, frameworks, and industry trends.
 </li>
 <li>
 Develop APIs and microservices for AI model integration.
 </li>
 <li>
 Ensure data security, model governance, and compliance standards are maintained.
 
 
 </li>
 </ul>
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Experience with Machine Learning libraries such as:
 </li>
 <ul>
 <li>
 TensorFlow
 </li>
 <li>
 PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 XGBoost
 </li>
 </ul>
 <li>
 Strong understanding of:
 </li>
 <ul>
 <li>
 Supervised and Unsupervised Learning
 </li>
 <li>
 Deep Learning
 </li>
 <li>
 Neural Networks
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Computer Vision
 </li>
 <li>
 Reinforcement Learning (preferred)
 </li>
 </ul>
 <li>
 Experience with SQL and NoSQL databases.
 </li>
 <li>
 Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Familiarity with version control systems like Git.
 </li>
 </ul>
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Generative AI technologies and Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain
 </li>
 <li>
 LlamaIndex
 </li>
 <li>
 Hugging Face
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
 </li>
 </ul>
 <li>
 Experience in RAG (Retrieval-Augmented Generation) implementations.
 </li>
 <li>
 Knowledge of MLOps tools and CI/CD pipelines.
 </li>
 <li>
 Experience with Databricks and Apache Spark.
 </li>
 </ul>
 Technical Skills
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 TensorFlow
 </li>
 <li>
 PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Pandas
 </li>
 <li>
 NumPy
 </li>
 <li>
 Apache Spark
 </li>
 <li>
 MLflow
 </li>
 <li>
 Docker
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 AWS/Azure/GCP
 </li>
 <li>
 Git
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Generative AI &amp; LLMs
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and in a team environment.
 </li>
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 Strong attention to detail and commitment to quality.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 AI Agent Development
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 Multi-Agent Systems
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 <li>
 Prompt Engineering
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 <li>
 Fine-tuning LLMs
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 <li>
 Knowledge Graphs
 </li>
 <li>
 MLOps Certification
 </li>
 <li>
 Cloud Certifications (AWS, Azure, GCP)
 </li>
 </ul>
</div>

AI/ML Engineer

Almaimana Accounting and Bookkeeping

Location: Remote / Dubai, UAE (Project-Based) Employment Type: Freelance / Contract Department: Technology &amp; Digital InnovationJob SummaryWe are seeking a talented and experienced Freelance AI Engineer to design, develop, and implement Artificial Intelligence (AI) solutions on a project basis. The ideal candidate will have hands-on experience in Machine Learning, Generative AI, Natural Language Processing (NLP), AI automation, and Large Language Models (LLMs). The role requires the ability to work independently, manage project timelines, and deliver scalable AI solutions aligned with business objectives.Key Responsibilities<ul><li>Develop and deploy AI-powered applications, chatbots, virtual assistants, and automation solutions.</li><li>Build and fine-tune Machine Learning and Deep Learning models.</li><li>Design and implement Generative AI solutions using Large Language Models (LLMs).</li><li>Integrate AI solutions with websites, mobile applications, ERP systems, and business platforms.</li><li>Develop Retrieval-Augmented Generation (RAG) systems and AI agents.</li><li>Analyze business requirements and recommend suitable AI technologies.</li><li>Prepare technical documentation and deployment guides.</li><li>Conduct testing, troubleshooting, and optimization of AI applications.</li><li>Ensure data security, privacy, and compliance with industry best practices.</li><li>Provide post-deployment support and maintenance when required.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field (preferred).</li><li>Proven experience in AI/ML development and deployment.</li><li>Strong proficiency in Python and AI development frameworks.</li><li>Experience with Generative AI platforms and APIs.</li><li>Knowledge of NLP, Machine Learning, and Deep Learning techniques.</li><li>Experience integrating AI solutions through APIs and cloud services.</li><li>Strong problem-solving and communication skills.</li><li>Ability to work independently and meet project deadlines.</li></ul>Technical Skills<ul><li>Python</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>OpenAI, Gemini, Claude, or similar AI platforms</li><li>LangChain, LlamaIndex</li><li>RAG Architecture and AI Agents</li><li>SQL and NoSQL Databases</li><li>Vector Databases (Pinecone, ChromaDB, Weaviate)</li><li>REST APIs</li><li>Docker and Cloud Platforms (AWS, Azure, GCP)</li><li>Git Version Control</li></ul>Preferred Experience<ul><li>AI Chatbot Development</li><li>Intelligent Document Processing (IDP)</li><li>OCR and Computer Vision Applications</li><li>Business Process Automation</li><li>Predictive Analytics and Data Science Projects</li><li>MLOps and Model Deployment</li></ul>DeliverablesThe selected freelancer may be required to:<ul><li>Develop custom AI applications.</li><li>Create AI-powered customer support solutions.</li><li>Automate business processes using AI.</li><li>Build intelligent document management systems.</li><li>Integrate AI models with existing software platforms.</li><li>Provide training and knowledge transfer to internal teams.</li></ul>Contract Terms<ul><li>Project-based or hourly engagement.</li><li>Flexible working hours.</li><li>Remote work arrangement.</li><li>Payment based on agreed milestones and deliverables.</li><li>Opportunity for long-term collaboration on future AI projects.</li></ul>How to ApplyInterested candidates should submit:<ul><li>Updated CV/Resume</li><li>Portfolio of AI projects</li><li>GitHub or relevant technical profiles</li></ul>Only candidates with demonstrated experience in AI development and successful project delivery will be considered.Application Question(s):<ul><li>What is your expected Salary?</li><li>Can you join immediately after selection?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Freelance AI Engineer

Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 We&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.
 
 
 We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
 </li>
 <li>
 Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
 </li>
 <li>
 Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
 </li>
 <li>
 Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
 </li>
 <li>
 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
 </li>
 <li>
 Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 A Master&rsquo;s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
 </li>
 <li>
 Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
 </li>
 <li>
 Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
 </li>
 <li>
 Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
 </li>
 <li>
 Prior experience with distributed training using cloud infrastructure
 </li>
 <li>
 Prior experience with visual document understanding and layout analysis
 </li>
 <li>
 Published research or achieved SOA results on an ML application
 </li>
 <li>
 Prior experience with multi-modal deep learning models
 </li>
 <li>
 You have a passion for manufacturing and believe that the industry needs better software
 </li>
 <li>
 Prior experience working in a startup environment
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).
 
 
 This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits For Full-time Employees
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

Machine Learning Engineer

skyline career

Job Overview We are seeking a dynamic and innovative Level AI/ML Engineer to drive the development and deployment of cutting-edge artificial intelligence and machine learning solutions. In this role, you will harness your expertise in data science, model training, and big data analytics to solve complex problems across diverse domains. Your work will empower our organization to leverage advanced AI technologies, optimize data workflows, and deliver impactful insights. This position offers an exciting opportunity to contribute to transformative projects that shape the future of intelligent systems.Responsibilities<ul><li>Design, develop, and implement machine learning models using frameworks such as TensorFlow and other AI tools to address real-world challenges.</li><li>Conduct data mining, feature engineering, and model training utilizing large-scale datasets stored in Hadoop, Spark, and SQL databases.</li><li>Collaborate with cross-functional teams to define project requirements and translate them into scalable AI solutions.</li><li>Develop ETL pipelines with Talend, Bash scripts, or other tools to prepare data for analysis and modeling.</li><li>Optimize model deployment processes ensuring seamless integration into production environments using cloud platforms like AWS.</li><li>Apply natural language processing techniques for text analysis and linked data integration for enhanced insights.</li><li>Stay current with advancements in quantum engineering, unsupervised learning, and emerging machine learning frameworks to continuously improve our AI capabilities.</li></ul>Qualifications<ul><li>Proven experience in machine learning, deep learning, and AI development with a strong understanding of frameworks such as TensorFlow or similar.</li><li>Proficiency in programming languages including Python, Java, C, and VBA for data analysis and application development.</li><li>Hands-on experience working with big data technologies like Hadoop, Spark, and SQL databases for data storage, processing, and analytics.</li><li>Knowledge of natural language processing (NLP), data mining techniques, and model training methodologies.</li><li>Familiarity with cloud services such as AWS for model deployment and scalable computing resources.</li><li>Strong background in database design, ETL processes, and analytics tools like Looker for visualization.</li><li>Ability to work effectively in a fast-paced environment while managing multiple projects related to machine learning frameworks and AI innovations. Join us to be at the forefront of artificial intelligence innovation! Your expertise will help shape intelligent systems that transform industries&mdash;empowering organizations through smarter data-driven decisions while advancing your career in a vibrant tech environment.</li></ul>Pay: $70,000.00 - $100,000.00 per yearBenefits:<ul><li>401(k)</li><li>Flexible schedule</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Tuition reimbursement</li></ul>Work Location: In person

Level AI/ML Engineer

CoStar Group

<div>Senior Machine Learning Engineer 
Job Description 
CoStar Realty Information Inc. seeks Senior Machine Learning Engineer
Job Duties: Lead and manage the deployment and management of machine learning models across production systems. Collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring, and testing frameworks, and data management processes. Work with software engineers to ensure the seamless integration of machine learning models into applications and services. Develop and maintain efficient and scalable data management processes for large-scale machine learning datasets. Collaborate with the Infrastructure team to ensure the reliability, scalability, and security of production systems. Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management. Advocate for tools and technologies to accelerate research. Distribute neural networking training across fleets of computer servers to leverage massive datasets. Optimize machine learning inference on mobile devices. Telecommuting permitted from anywhere in the U.S.
Minimum Requirements: Bachelor&rsquo;s degree, or foreign equivalent, in Computer Science, Electrical Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.
Special Skill Requirements:
(1) Python and C++ programming for developing complex computer vision applications and computational geometry algorithms, including experience with performance optimization and memory management for processing large 3D datasets. Expertise in scientific computing libraries such as NumPy and OpenCV for sophisticated data manipulation and algorithm implementation (3 years)
(2) SLAM (Simultaneous Localization and Mapping) and Structure from Motion for camera pose tracking and 3D reconstruction. Experience in visual odometry, feature tracking, bundle adjustment, and loop closure detection. Experience implementing EKF-based SLAM solutions and familiarity with state-of-the-art SLAM approaches from research literature (2 years)
(3) 3D Computer Vision and Volumetric Reconstruction, including 3D reconstruction techniques including TSDF (Truncated Signed Distance Function) volumetric fusion, depth data processing, and 3D mesh projection/stitching. Experience with multi-view geometry, camera calibration, and point cloud processing. Experience with specialized 3D vision libraries and implementing algorithms from computer vision conferences (CVPR/ECCV/ICCV) (2 years)
(4) Depth Sensing and Processing: comprehensive experience with depth camera systems like Kinect or LIDAR, depth data infrastructure for mixed reality pipelines, and depth compression schemes. Hands-on experience with depth map filtering, fusion of multiple depth sources, and integration of depth data with RGB information for scene understanding. (2 years)
(5) Mixed Reality Systems for Digital Twins: advanced expertise in developing computer vision components from mixed reality applications with focus on digital twin creation and interaction. Experience with spatial mapping, environment understanding, camera tracking, surface detection, and 3D content placement in virtual environments that mirror physical spaces. Experience with integrating real-world geometry with virtual content for interactive digital twin applications. (2 years)
(6) Advanced Computer Vision Algorithms including camera calibration, pose estimation, feature extraction and matching, homography estimation, optical flow, and multi-view geometry. Experience implementing and optimizing these algorithms for specific application domains and hardware constraints. (3 years)
(7) Neural Radiance Fields (NeRF) and Novel View Synthesis for creating photorealistic 3D representations from 2D images. Hands-on experience implementing and optimizing NeRF variants for different applications and hardware environments. (1 year)
(8) Deep Learning for Computer Vision: specialized experience implementing and optimizing deep learning models for computer vision tasks such as object detection, semantic segmentation, depth estimation, and pose estimation. Experience with frameworks like PyTorch and adapting state-of-the-art architectures for specific computer vision challenges. (2 years)
(9) Embedded Computer Vision: Experience optimizing and deploying sophisticated computer vision algorithms on embedded systems with limited computational resources. Experience with ARM architectures, NVIDIA Jetson platforms (TX2), and techniques for efficient inference on edge devices. Experience implementing real-time vision systems on embedded hardware for applications such as smart cameras and mobile devices. (2 years)
(10) Multi-sensor Integration and 3D Environment Capture: Experience with multi-sensor systems for creating comprehensive 3D digital representations of physical spaces. Experience implementing sensor fusion algorithms, localization, mapping, and environment understanding for indoor and outdoor spaces. Experience developing systems that can perform real-time perception tasks in dynamic environments and create accurate 3D models from multiple data sources. Experience with multi-camera calibration, synchronization, and integration for creating seamless 3D spatial models. (2 years)
EOE, including disability/vets.
Must be legally authorized to work in the U.S. without sponsorship.
#DNI 
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing</div>

Senior Machine Learning Engineer

Booz Allen Hamilton

<div>Machine Learning Research Engineer
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using Machine Learning (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 the creation of physics-aware foundational models for remote sensing applications. As a machine learning engineer on our national security 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 machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and remote sensing scientists to deliver world class solutions to turn a detailed technical design into a stable, high-performing, well-evaluated PyTorch system. You will work across self-supervised pretraining, lab-to-scene alignment, multi-task model training, uncertainty calibration, benchmarking, and release readiness. This role is ideal for someone who can bridge model research and production-grade ML engineering. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for applied remote sensing.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
4+ years of experience with ML engineering, research engineering, or applied ML development</li><li>
Experience with PyTorch, including building and training deep learning models</li><li>
Experience with transformer-based models, self-supervised learning, multi-task learning, or large-scale training pipelines</li><li>
Experience with debugging model training issues such as instability, memory bottlenecks, dataloader performance, and reproducibility</li><li>
Experience with software engineering fundamentals, including testing, code review, and maintainable ML workflows</li><li>
Top Secret clearance</li><li>
Bachelor&rsquo;s degree
</li></ul>Nice If You Have:<ul><li>
Experience with computer vision, scientific imaging, remote sensing, or hyperspectral data</li><li>
Experience with masked autoencoders, contrastive learning, retrieval models, or multimodal alignment</li><li>
Experience with uncertainty estimation, calibration, conformal prediction, or OOD detection</li><li>
Experience with distributed training, mixed precision, and GPU performance optimization</li><li>
Experience supporting model evaluation and qualification in high-stakes or research-heavy domains</li><li>
TS/SCI clearance</li><li>
Master&rsquo;s degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field preferred; Doctorate degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field a plus</li></ul>
Clearance:
 Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
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 $99,000.00 to $225,000.00 (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>

Machine Learning Research Engineer

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