Machine Learning Engineer IV Job at Beacon Hill (Providence)

Algorithm Engineer IV

Beacon Biosignals is on a mission to revolutionize precision medicine for the br...

Location

United States , Boston

Salary:

Not provided

Beacon Biosignals

Expiration Date

Until further notice

Requirements

More than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production
Experienced with digital signal processing (DSP) and statistics
Proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models
Proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
Follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking
Experienced with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain
Thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success
Can distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally
Excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms

Job Responsibility

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation
Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective
Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation
Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing
Present results to key stakeholders and assist them in utilizing algorithms for client engagement
Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development

What we offer

Equity
PTO

AI Systems Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems

Job Responsibility

Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Systems Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems

Job Responsibility

Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GNC Engineer IV - AI Applications

As a GNC Engineer IV, you will specialize in applying AI and machine learning te...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GNC Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Development Manager IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience supporting highly technical teams such as AI research, machine learning, robotics, or advanced engineering
Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related technical field
Strong understanding of Agile principles and hands on experience adapting them to R&D or research-centric environments
Ability to translate complex technical work into clear plans without restricting exploration or scientific creativity
Exceptional facilitation, communication, and organizational skills suited for high complexity technical teams
Proven ability to remove blockers, manage dependencies, and drive alignment across multiple technical partners
Experience maintaining visibility, workflows, and structured documentation for complex or extended technical projects
Comfort navigating ambiguous problem spaces where priorities shift quickly based on research results and emerging insights
A service-oriented mindset focused on clarity, operational excellence, and enabling teams to do their best work

Job Responsibility

Lead a team of AI developers, ML engineers, and software engineers through technical guidance, mentorship, and structured execution
Contribute directly to development efforts by designing, implementing, reviewing, and optimizing AI related software systems
Establish technical direction and architectural decisions for model pipelines, distributed training systems, deployment frameworks, and supporting infrastructure
Balance hands on development with managerial responsibilities including planning, prioritization, performance feedback, and team health
Coordinate cross functional work among research, infrastructure, robotics, and product teams to ensure alignment and smooth integration of AI capabilities
Create and maintain clear plans, roadmaps, and execution structures that enable predictable delivery without restricting innovation or exploration
Ensure the engineering team follows best practices in code quality, testing, documentation, version control, and reliability
Support the development and scaling of model training workflows, data pipelines, inference systems, and real time or embedded AI components
Monitor project progress, remove blockers, and drive continuous improvement across tools, development processes, and team workflows
Recruit, onboard, and develop top engineering talent with a focus on growth, capability building, and long-term team scalability

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Development Manager IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience supporting highly technical teams such as AI research, machine learning, robotics, or advanced engineering
Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related technical field
Strong understanding of Agile principles and hands on experience adapting them to R&D or research-centric environments
Ability to translate complex technical work into clear plans without restricting exploration or scientific creativity
Exceptional facilitation, communication, and organizational skills suited for high complexity technical teams
Proven ability to remove blockers, manage dependencies, and drive alignment across multiple technical partners
Experience maintaining visibility, workflows, and structured documentation for complex or extended technical projects
Comfort navigating ambiguous problem spaces where priorities shift quickly based on research results and emerging insights
A service-oriented mindset focused on clarity, operational excellence, and enabling teams to do their best work

Job Responsibility

Lead a team of AI developers, ML engineers, and software engineers through technical guidance, mentorship, and structured execution
Contribute directly to development efforts by designing, implementing, reviewing, and optimizing AI related software systems
Establish technical direction and architectural decisions for model pipelines, distributed training systems, deployment frameworks, and supporting infrastructure
Balance hands on development with managerial responsibilities including planning, prioritization, performance feedback, and team health
Coordinate cross functional work among research, infrastructure, robotics, and product teams to ensure alignment and smooth integration of AI capabilities
Create and maintain clear plans, roadmaps, and execution structures that enable predictable delivery without restricting innovation or exploration
Ensure the engineering team follows best practices in code quality, testing, documentation, version control, and reliability
Support the development and scaling of model training workflows, data pipelines, inference systems, and real time or embedded AI components
Monitor project progress, remove blockers, and drive continuous improvement across tools, development processes, and team workflows
Recruit, onboard, and develop top engineering talent with a focus on growth, capability building, and long-term team scalability

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Simulation Engineer IV

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Machine Learning Engineer IV

Beacon Hill

Location:
United States , Providence

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
March 01, 2026

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Additional Information:

Job Posted:March 01, 2026

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Job Posted:
March 01, 2026