Principal ML & AI Engineer Job at Dynamic Search Solutions

Principal ML Engineer - Embodied AI Scaling Foundations

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field
Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact
Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines
Proficiency in frameworks such as PyTorch and languages such as Python
Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark
Excellent communication skills to effectively collaborate with diverse teams and stakeholders
Experience deploying foundation models into production environments and understanding the end-to-end process
Previous experience in Robotics or Autonomous Driving

Job Responsibility

Design and implement technologies that align our models to GM’s mission
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer of safety and reliability
Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models
Conduct research and stay updated on the latest advancements in AI frameworks and libraries
Lead projects from ideation to deployment, documenting learnings and best practices along the way
Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Principal ML Engineer, ML Platform Engineering

Xometry is seeking a Principal Machine Learning Engineer to join our core machin...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role
A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience
Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security
Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc
Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following: Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration
Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow)
Infrastructure as Code (IaC), especially Terraform
REST API design and implementation
Object oriented and functional programming in Python
Multimodal data processing (e.g., combining text, image, and 3D data)

Job Responsibility

Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams
Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills
Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering
Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines
Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics
Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

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 Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Principal AI Engineer – Vivado EDA Tools

We are seeking a skilled AI expert to join our new team focused on integrating A...

Location

United States , San Jose

Salary:

240000.00 - 360000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Extensive experience with AI/ML initiatives and a proven track record of deploying production AI systems
Deep expertise in Large Language Models, fine-tuning, and prompt engineering
Experience designing agentic AI solutions and multi-agent systems
Strong background in EDA tools and workflows, preferably with Synopsys experience
Proficiency in MLOps, model deployment, and lifecycle management
Advanced skills in Python, C++, and AI/ML orchestration frameworks
In-depth knowledge of FPGA design methodologies and tool development

Job Responsibility

Design and implement Large Language Model integrations for FPGA design assistance
Develop Agentic AI systems for automated design optimization
Conduct research and development of novel AI applications in EDA tools

What we offer

Benefits offered are described: AMD benefits at a glance

Fulltime

Principal AI Engineer

The Principal AI Engineer is part of our AI Centre of Excellence team at the for...

Location

United States , Boston, MA; Austin, TX

Salary:

236500.00 - 320000.00 USD / Year

Rapid7

Expiration Date

Until further notice

Requirements

Significant hands-on experience in applied AI, able to independently design and build AI models and systems
Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science
PyTorch, TensorFlow, or Keras for deep learning
AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions
CrewAI (or similar frameworks) for agentic AI projects
Pandas/NumPy for data processing and transformation
Intuition for selecting the right models and approaches for different use cases
Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable
Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges
Bias for action and delivery, balancing speed with care

Job Responsibility

Develop and ship AI systems with a focus on delivering customer value
Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives
Take ownership of multiple projects as the principal go-to expert
Act as a first-class stakeholder throughout the AI R&D process
Build strong cross-functional relationships with engineering, UX, product management, and customer research teams
Mentor colleagues with less experience, acting as a trusted technical resource

Principal ML Engineer - Large Scale Training Performance Optimization

We are looking for a Principal Machine Learning Engineer to join our Models and ...

Location

United States , San Jose; Bellevue

Salary:

226400.00 - 339600.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Experience with ML/DL frameworks such as PyTorch, JAX, or TensorFlow
Experience with distributed training and distributed training frameworks, such as Megatron-LM, MaxText, TorchTitan
Experience with LLMs or computer vision, especially large models
Experience with GPU kernel optimization
Excellent Python or C++ programming skills, including debugging, profiling, and performance analysis at scale
Experience with ML infra at kernel, framework, or system level
Strong communication and problem-solving skills
A master's degree or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Job Responsibility

Train large models to convergence on AMD GPUs at scale
Improve the end-to-end training pipeline performance
Optimize the distributed training pipeline and algorithm to scale out
Contribute your changes to open source
Stay up-to-date with the latest training algorithms
Influence the direction of AMD AI platform
Collaborate across teams with various groups and stakeholders

Fulltime

Principal ML Engineer, CoreAI

You’ll help build core generative AI and multimodal capabilities that power cust...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field and 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python or equivalent experience
Advanced degree in Computer Science, Machine Learning, or related field
Demonstrated technical leadership through influence (e.g., leading designs, setting architecture direction, mentoring engineers)
Experience with prompt engineering, retrieval-augmented generation (RAG), and memory/agent frameworks
Experience building and shipping generative AI systems (including multimodal scenarios)
Familiarity with compliance and security standards in enterprise AI solutions
Track record of delivering enterprise-facing AI products at scale
Experience building and operating ML/AI systems in cloud environments
familiarity with MLOps practices (Azure a plus)
Experience partnering with cross-functional stakeholders to define requirements and drive technical decisions

Job Responsibility

Design, build, and operate production-grade generative AI and multimodal systems, with end-to-end ownership from concept through deployment and service operations
Lead technical design for core GenAI capabilities (e.g., retrieval-augmented generation, context and memory, orchestration) and make data-driven tradeoffs across quality, latency, cost, and safety
Define and improve model and system quality using evaluation frameworks, experiment design, and production telemetry
ensure robust testing and regression coverage
Collaborate with security, privacy, and compliance partners to build solutions that meet enterprise requirements and align with Responsible AI standards and practices
Provide technical leadership across teams by setting direction, reviewing designs, unblocking execution, and mentoring engineers on architecture, coding standards, and ML engineering best practices
Partner with product and customers to understand scenarios, translate requirements into well-designed APIs and developer experiences, and drive adoption through documentation and samples

Fulltime

Principal AI Engineer- Stretch Grasping Intelligence

We are seeking a highly experienced and motivated Principal AI Engineer to join ...

Location

United States , Waltham

Salary:

187580.00 - 275117.00 USD / Year

Boston Dynamics

Expiration Date

Until further notice

Requirements

PhD and 5 years of experience, or MS and 8 years of industry experience in Computer Science, Machine Learning, Robotics, or a related field
Strong foundation in Python and modern ML frameworks (e.g. PyTorch, Jax)
Prior experience training and deploying AI policies, including working with robot hardware and simulation
Strong analytical and debug skills
Experience working with and contributing to large codebases (Python and C++)

Job Responsibility

Design and build the systems that enable the Stretch robot to perceive the environment so that it can perform manipulation tasks
Help develop datasets, infrastructure, and tooling to build ML models at scale
Advocate for and leverage the use of simulation tools (e.g. MuJoCo, Gazebo)
Integrate the use of novel techniques into Stretch software systems
Collaborate with adjacent teams (e.g. Manipulation, Planning, SW Platform) to define requirements and propose solutions
Serve as a go-to technical leader on the team, championing AI solutions to tackle challenging problems

What we offer

medical, dental vision, 401(k), paid time off and an annual bonus structure

Fulltime

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Principal ML & AI Engineer

Job Description

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