Principal Software Engineer

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

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, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

We are seeking a highly skilled and driven Principal Software Engineer with a st...

Location

United States , New York

Salary:

250000.00 - 366000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production
Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads
Prior experience working directly with clients in use case discovery, product development, and leading client engagements
Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development
Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications
Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads
Familiarity with Kubernetes and other container management tools
Ability to write well-structured, organized code and automated unit/E2E tests
Comfortable with polyglot persistence models (SQL vs. NoSQL)
Experience with MLOps frameworks and best practices

Job Responsibility

Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
Client Engagement: Collaborate directly with Invisible’s clients, working embedded with client teams to support use case discovery, product development, and AI deployment
Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

New

Senior Principal Researcher - Cloud and AI Infrastructure

Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouve...

Location

Canada , Vancouver

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field AND 6+ years related research experience
OR Master's Degree in relevant field AND 7+ years related research experience
OR Bachelor's Degree in relevant field AND 9+ years related research experience
OR equivalent experience
3+ years’ experience in research related to infrastructure design, computer architecture, or artificial intelligence
Experience publishing academic papers as a lead author or essential contributor
Experience participating in a top conference in relevant research domain
Experience in optimizing or designing hardware components and architectures to enhance performance, reliability, efficiency

Job Responsibility

Investigate and analyze emerging hardware technologies, trends, and advancements
Design and optimize hardware components, systems, and architectures to enhance performance, reliability, and efficiency
Conduct simulations, tests, and validations to ensure hardware designs meet required specifications and performance goals
Develop prototypes and proof-of-concept models to demonstrate new hardware technologies and applications
Identify opportunities for hardware improvements and cost reductions by staying informed about industry best practices and standards
Collaborate with cross-functional teams, including software researchers, designers, and engineers, to identify hardware requirements and develop innovative solutions
Partner with manufacturing vendors and production teams to transition innovative designs and concepts into deployable systems
Document research findings, design decisions, and technical specifications to facilitate knowledge sharing and collaboration within the organization

Fulltime

New