Artificial Intelligence and Machine Learning Engineer Job at Booz Allen Hamilton (Fort Meade)

Senior Software Engineer, Machine Learning and Artificial Intelligence

Mashgin is looking for a smart, driven engineer who’s fascinated by the latest d...

Location

United States , Palo Alto

Salary:

200000.00 - 300000.00 USD / Year

Mashgin

Expiration Date

Until further notice

Requirements

8+ years relevant coding experience
B.S. or higher in Computer Science or related field
Strong background in Machine Learning or Computer Vision
Excellent knowledge of either Python or C/C++

Job Responsibility

Developing solutions for real-world computer vision problems
Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data
Finding the optimal balance between doing longer term research and applying research results to production code
Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data

What we offer

Excellent health, dental and vision insurance for you and your dependents
401k plan
Flexible PTO policy
Catered lunch in office with fully stocked snacks and beverages
Pet insurance for your fur babies
Voluntary life insurance plan
Competitive salary and options in a small, rapidly scaling company

Fulltime

Staff Artificial Intelligence Machine Learning Engineer

The Role: General Motors is seeking a Staff AI/ML Engineer for the Vehicle Mech...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Graduate degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, or a closely related quantitative field
7+ years of hands-on experience designing, building, and operating machine learning systems in production environments
Strong proficiency in Python (production-quality code, testing, packaging) and SQL, with experience working in shared, multi-developer codebases
Practical experience with core ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
Experience building data and ML workloads on cloud platforms, preferably Microsoft Azure, and working with Databricks, Spark, or similar distributed processing frameworks
Demonstrated ability to turn ambiguous real-world problems into shippable AI/ML solutions, owning the details from data exploration through deployed service and ongoing operation
Strong understanding of ML system behavior in production (data issues, non-stationarity, latency, throughput, failure modes) and comfort debugging with logs, metrics, and traces
Excellent communication and collaboration skills, with a track record of influencing decisions and mentoring other AI/ML practitioners

Job Responsibility

Design, build, and operate end-to-end AI/ML solutions (data pipelines, models, services, and tools) for diagnostics, prognostics, and test analytics
Implement production-grade ML pipelines on platforms such as Azure and Databricks, covering data ingestion, feature engineering, training, evaluation, and inference for batch and streaming workloads
Develop and maintain robust, observable ML services and internal tools that make complex vehicle and field data easy to use for engineers and technical stakeholders
Apply practical ML and statistical methods (e.g., tree-based models, time-series and anomaly detection, deep learning where appropriate) with a focus on reliability, explainability, and impact
Own model and data observability in production, including metrics, dashboards, alerts, and remediation workflows for drift, data quality, and performance regressions
Partner with data engineering to define and use industrialized and vectorized data products that support search, RAG, and analytics at scale
Review designs and code, mentor AI/ML practitioners, and help set high standards for testing, logging, deployment, and documentation
Collaborate with diagnostics/prognostics SMEs, validation, safety, and program teams to prioritize work, define success metrics, and embed solutions in day-to-day engineering workflows

Fulltime

Artificial Intelligence Machine Learning Engineer

Join WebBeds and help us shape the future of our new Artificial Intelligence and...

Location

Spain , Palma

Salary:

Not provided

WebBeds

Expiration Date

Until further notice

Requirements

A degree in Computer Science, Machine Learning, Engineering, Physics, Mathematics, or equivalent experience
Experience developing AI/ML solutions that created real impact in industry or academia
Strong Python skills and familiarity with libraries such as PyTorch or TensorFlow
SQL knowledge and experience working with structured data
MLOps: familiarity with production concepts (versioning, testing, reproducibility)
Interest and experience in modern ML methods, including deep learning and prompt engineering
A collaborative mindset and the ability to communicate complex ideas clearly to both technical and non‑technical audiences
A continuous learning attitude and openness to new techniques, tools, and ideas

Job Responsibility

Discovery & Design: Collaborate with colleagues across teams to understand challenges and design practical, well‑fitted AI/ML solutions
Building AI/ML Solutions: Prototype and develop machine learning and generative AI systems in areas like forecasting, pricing optimization, anomaly detection, and information extraction. Also, experiment with algorithms, structured data modelling, and foundation models using AWS services such as Bedrock, Lambda, and S3
Creating Impact: Write clear, maintainable Python code that can evolve into production solutions and work alongside software engineers when solutions are taken toward production
Collaboration & Community Contribution: Partner with experienced colleagues in a supportive and open environment where diverse perspectives matter and share good practices in AI/ML, to help promote responsible use of AI, and contribute to a culture of learning and innovation within the team

Fulltime

Process and Tools - Artificial Intelligence / Machine Learning

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Mississauga

Salary:

71200.00 - 111900.00 CAD / Year

Bombardier

Expiration Date

Until further notice

Requirements

Software engineer with 2+ years applied experience in GenAI for search/RAG
strong Python and IR fundamentals (BM25, ANN/vector search, hybrid/fusion, reranking)
Hands-on with BGE (or similar) and lightweight tuning for embedders/rerankers
ability to build evaluation harnesses (offline metrics, curated sets, continuous runs)
Practical PDF parsing
PaddleOCR
exposure to table/diagram extraction
Comfortable in Azure
familiarity with Azure AD or LDAP integration
Git power-user with CI/CD using Azure Devops git Actions

Job Responsibility

Lead and ensure applicable corporate implementation of improvements to retrieval quality: strengthen hybrid BM25 + dense retrieval, add robust metadata filtering, and implement/compare rerankers (cross-encoder or lightweight LLM-as-reranker) while iterating on existing BGE pipelines
Redesign chunking and indexing for PDFs (overlap/hierarchical, section-aware/semantic)
build benchmarks to compare strategies
introduce dedup/versioning and maintain document lineage with structured citations
Expand evaluation beyond Recall@k (e.g., nDCG, MRR, Precision@k) and stand up a continuous evaluation pipeline with meaningful telemetry/logging (OpenTelemetry is a plus)
Advance OCR & document understanding: use PaddleOCR for scanned PDFs
evaluate advanced LLM-based OCR approaches (local/on‑prem only)
expand table/diagram extraction and prepare for multimodal retrieval
Contribute to a modern frontend: help migrate from Streamlit to React/Next.js + TypeScript (Node.js) with secure sign-in and PDF snippet highlighting
Strengthen security & platform foundations: implement access control with Azure AD (Entra ID) or LDAP

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Process and Tools - Artificial Intelligence / Machine Learning

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

Software engineer with 2+ years applied experience in GenAI for search/RAG
strong Python and IR fundamentals (BM25, ANN/vector search, hybrid/fusion, reranking)
Hands-on with BGE (or similar) and lightweight tuning for embedders/rerankers
ability to build evaluation harnesses (offline metrics, curated sets, continuous runs)
Practical PDF parsing
PaddleOCR
exposure to table/diagram extraction
Comfortable in Azure
familiarity with Azure AD or LDAP integration
Git power-user with CI/CD using Azure Devops git Actions

Job Responsibility

Lead and ensure applicable corporate implementation of improvements to retrieval quality: strengthen hybrid BM25 + dense retrieval, add robust metadata filtering, and implement/compare rerankers (cross-encoder or lightweight LLM-as-reranker) while iterating on existing BGE pipelines
Redesign chunking and indexing for PDFs (overlap/hierarchical, section-aware/semantic)
build benchmarks to compare strategies
introduce dedup/versioning and maintain document lineage with structured citations
Expand evaluation beyond Recall@k (e.g., nDCG, MRR, Precision@k) and stand up a continuous evaluation pipeline with meaningful telemetry/logging (OpenTelemetry is a plus)
Advance OCR & document understanding: use PaddleOCR for scanned PDFs
evaluate advanced LLM-based OCR approaches (local/on‑prem only)
expand table/diagram extraction and prepare for multimodal retrieval
Contribute to a modern frontend: help migrate from Streamlit to React/Next.js + TypeScript (Node.js) with secure sign-in and PDF snippet highlighting
Strengthen security & platform foundations: implement access control with Azure AD (Entra ID) or LDAP

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , Waltham

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , North Bethesda

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

annual bonus
401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 9 -10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Proficiency in using agentic frameworks like langGraph or similar other frameworks
Knowledgeable in lineage tracking of agentic architectures
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Provides technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

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Artificial Intelligence and Machine Learning Engineer

Job Description

Job Responsibility

Requirements

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