Machine Learning Engineer, Physical AI Job at Helpcare AI (San Francisco)

AI Machine Learning Engineer

ExoAnalytic Solutions develops advanced algorithms, AI/ML solutions, and softwar...

Location

United States , Foothill Ranch; Huntsville; Arlington; Colorado Springs

Salary:

115000.00 - 190000.00 USD / Year

ExoAnalytic Solutions

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and artificial intelligence concepts, including model development, training, validation, and evaluation
Proficiency in Python for AI/ML development
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
Demonstrated experience developing, implementing, or integrating AI/ML algorithms into software systems or simulations
Understanding of data preprocessing, feature engineering, model evaluation, and performance metrics
Experience using version control systems (e.g., Git) in a collaborative development environment
Ability to reason about algorithm tradeoffs, assumptions, uncertainty, and failure modes
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
Eligibility to obtain a Secret clearance
Excellent written, oral, and interpersonal communication skills

Job Responsibility

Design, develop, and evaluate AI/ML algorithms for space and missile defense applications, including sensing, tracking, classification, prediction, and decision-making
Implement machine learning solutions within modeling and simulation environments, analytical tools, and prototype operational systems
Develop and train models using supervised, unsupervised, and reinforcement learning techniques
Integrate AI/ML components with physics-based models, simulations, and system-level architectures
Analyze AI/ML performance, limitations, uncertainty, and robustness in operationally relevant scenarios
Collaborate with systems engineers, analysts, and domain experts to translate mission needs into AI/ML-driven solutions
Support experimentation, test campaigns, and algorithm trade studies using simulated and real-world data
Document algorithms, assumptions, data requirements, and performance results for technical and non-technical stakeholders
Contribute to technical planning, architecture decisions, and proposal development as needed
Manage individual tasks and deliverables while contributing to team-level technical decision-making

What we offer

Company-paid medical, vision, and dental coverage
401(k) Retirement Plan with a 6% company contribution (no employee match required)
Ample paid personal time off, including holidays
Short- and long-term disability insurance and life insurance
Additional discounts and perks to support your well-being
Flexible scheduling and structured freedom that empower innovation and work-life balance

Fulltime

AI Machine Learning Engineer

ExoAnalytic Solutions is seeking an AI Machine Learning Engineer – Space & Missi...

Location

United States , Huntsville; Foothill Ranch; Arlington; Colorado Springs

Salary:

115000.00 - 190000.00 USD / Year

ExoAnalytic Solutions

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and artificial intelligence concepts, including model development, training, validation, and evaluation
Proficiency in Python for AI/ML development
experience with C++ or similar languages is a plus
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
Demonstrated experience developing, implementing, or integrating AI/ML algorithms into software systems or simulations
Understanding of data preprocessing, feature engineering, model evaluation, and performance metrics
Experience using version control systems (e.g., Git) in a collaborative development environment
Ability to reason about algorithm tradeoffs, assumptions, uncertainty, and failure modes
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
Eligibility to obtain a Secret clearance

Job Responsibility

Design, develop, and evaluate AI/ML algorithms for space and missile defense applications, including sensing, tracking, classification, prediction, and decision-making
Implement machine learning solutions within modeling and simulation environments, analytical tools, and prototype operational systems
Develop and train models using supervised, unsupervised, and reinforcement learning techniques
Integrate AI/ML components with physics-based models, simulations, and system-level architectures
Analyze AI/ML performance, limitations, uncertainty, and robustness in operationally relevant scenarios
Collaborate with systems engineers, analysts, and domain experts to translate mission needs into AI/ML-driven solutions
Support experimentation, test campaigns, and algorithm trade studies using simulated and real-world data
Document algorithms, assumptions, data requirements, and performance results for technical and non-technical stakeholders
Contribute to technical planning, architecture decisions, and proposal development as needed
Manage individual tasks and deliverables while contributing to team-level technical decision-making

What we offer

Company-paid medical, vision, and dental coverage
401(k) Retirement Plan with a 6% company contribution (no employee match required)
Ample paid personal time off, including holidays
Short- and long-term disability insurance and life insurance
Additional discounts and perks to support your well-being
Flexible scheduling and structured freedom that empower innovation and work-life balance

Fulltime

AI Machine Learning Engineer

ExoAnalytic Solutions is seeking an AI Machine Learing Engineer – Space & Missil...

Location

United States , Colorado Springs

Salary:

115000.00 - 190000.00 USD / Year

ExoAnalytic Solutions

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and artificial intelligence concepts, including model development, training, validation, and evaluation
Proficiency in Python for AI/ML development
experience with C++ or similar languages is a plus
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
Demonstrated experience developing, implementing, or integrating AI/ML algorithms into software systems or simulations
Understanding of data preprocessing, feature engineering, model evaluation, and performance metrics
Experience using version control systems (e.g., Git) in a collaborative development environment
Ability to reason about algorithm tradeoffs, assumptions, uncertainty, and failure modes
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
Eligibility to obtain a Secret clearance

Job Responsibility

Design, develop, and evaluate AI/ML algorithms for space and missile defense applications, including sensing, tracking, classification, prediction, and decision-making
Implement machine learning solutions within modeling and simulation environments, analytical tools, and prototype operational systems
Develop and train models using supervised, unsupervised, and reinforcement learning techniques
Integrate AI/ML components with physics-based models, simulations, and system-level architectures
Analyze AI/ML performance, limitations, uncertainty, and robustness in operationally relevant scenarios
Collaborate with systems engineers, analysts, and domain experts to translate mission needs into AI/ML-driven solutions
Support experimentation, test campaigns, and algorithm trade studies using simulated and real-world data
Document algorithms, assumptions, data requirements, and performance results for technical and non-technical stakeholders
Contribute to technical planning, architecture decisions, and proposal development as needed
Manage individual tasks and deliverables while contributing to team-level technical decision-making

What we offer

Company-paid medical, vision, and dental coverage
401(k) Retirement Plan with a 6% company contribution (no employee match required)
Ample paid personal time off, including holidays
Short- and long-term disability insurance and life insurance
Additional discounts and perks to support your well-being
Flexible scheduling and structured freedom that empower innovation and work-life balance

Fulltime

AI Machine Learning Engineer

ExoAnalytic Solutions develops advanced algorithms, AI/ML solutions, and softwar...

Location

United States , Huntsville; Foothill Ranch; Arlington; Colorado Springs

Salary:

115000.00 - 190000.00 USD / Year

ExoAnalytic Solutions

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and artificial intelligence concepts, including model development, training, validation, and evaluation
Proficiency in Python for AI/ML development
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
Demonstrated experience developing, implementing, or integrating AI/ML algorithms into software systems or simulations
Understanding of data preprocessing, feature engineering, model evaluation, and performance metrics
Experience using version control systems (e.g., Git) in a collaborative development environment
Ability to reason about algorithm tradeoffs, assumptions, uncertainty, and failure modes
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
Eligibility to obtain a Secret clearance
Excellent written, oral, and interpersonal communication skills

Job Responsibility

Design, develop, and evaluate AI/ML algorithms for space and missile defense applications, including sensing, tracking, classification, prediction, and decision-making
Implement machine learning solutions within modeling and simulation environments, analytical tools, and prototype operational systems
Develop and train models using supervised, unsupervised, and reinforcement learning techniques
Integrate AI/ML components with physics-based models, simulations, and system-level architectures
Analyze AI/ML performance, limitations, uncertainty, and robustness in operationally relevant scenarios
Collaborate with systems engineers, analysts, and domain experts to translate mission needs into AI/ML-driven solutions
Support experimentation, test campaigns, and algorithm trade studies using simulated and real-world data
Document algorithms, assumptions, data requirements, and performance results for technical and non-technical stakeholders
Contribute to technical planning, architecture decisions, and proposal development as needed
Manage individual tasks and deliverables while contributing to team-level technical decision-making

What we offer

Company-paid medical, vision, and dental coverage
401(k) Retirement Plan with a 6% company contribution (no employee match required)
Ample paid personal time off, including holidays
Short- and long-term disability insurance and life insurance
Additional discounts and perks to support your well-being
Flexible scheduling and structured freedom that empower innovation and work-life balance

Fulltime

Principal Machine Learning Engineer - Evisort AI

Principal Machine Learning Engineer - Evisort AI at Workday. As a Principal Mach...

Location

USA , Seattle; Atlanta

Salary:

210600.00 - 316000.00 USD / Year

Workday

Expiration Date

Until further notice

Requirements

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Job Responsibility

Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
Develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers

Fulltime

Senior Machine Learning Engineer, Generative AI Products

Lead comprehensive applications/web development for highly complex projects; typ...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of five years’ software development experience with Python and SQL
Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka

Job Responsibility

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Senior/Principal Machine Learning Engineer

As a Senior/Principal Machine Learning Engineer in Agent Factory, you’ll design ...

Location

Canada , Toronto; Vancouver

Salary:

188000.00 - 282000.00 CAD / Year

Workday

Expiration Date

Until further notice

Requirements

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Job Responsibility

Design and build the core ML systems behind Workday’s next generation of AI agents
Own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement
Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready
Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
Stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale

What we offer

Workday Bonus Plan or a role-specific commission/bonus
annual refresh stock grants
comprehensive benefits

Fulltime

Senior Machine Learning Engineer

We’re hiring a Senior Machine Learning Engineer to help build the core AI system...

Location

United States , San Francisco

Salary:

230000.00 - 300000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows
Proven track record shipping applied AI products, not just prototyping models offline
Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services
Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures
Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs

Job Responsibility

Build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare

What we offer

Equity

Fulltime

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Machine Learning Engineer, Physical AI

Job Description

Job Responsibility

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