Machine Learning Engineer IV Job at Beacon Hill (Providence)

Image Processing Engineer Iv

At KARL STORZ, we're dedicated to advancing medical technology and improving pat...

Location

United States , Goleta

Salary:

131900.00 - 171500.00 USD / Year

KARL STORZ

Expiration Date

Until further notice

Requirements

Bachelor's degree in Electrical Engineering (Signal Processing emphasis) or equivalent
10-12 years of experience in image processing or related field
Strong knowledge of medical device quality system regulations and standards
Experience with real-time algorithm development using MATLAB-Simulink, FPGA and/or GPU design tools
Excellent communication and leadership skills

Job Responsibility

Develop and implement image processing algorithms for camera systems
Perform system modeling, signal analysis, and characterization of imaging sensors
Develop and implement new features using classical DSP methods and/or Machine Learning models
Design and verify FPGA-based modules using MATLAB-Simulink and/or GPU-based modules using CUDA and other tools
Collaborate with project teams to define IP design architecture and ensure product quality
Provide technical leadership and mentorship to junior engineers
Support existing product lines and perform competitive evaluations

What we offer

Medical / Dental / Vision including a state-of-the-art wellness program and pet insurance
3 weeks vacation, 11 holidays plus paid sick time
Up to 8 weeks of 100% paid company parental leave
401(k) retirement savings plan providing a match of 60% of the employee’s first 6% contribution
Section 125 Flexible Spending Accounts
Life, STD, LTD & LTC Insurance
Tuition pre-imbursement up to $5,250 per year
Fitness reimbursement of up to $200 annually

Fulltime

Data Engineer IV

The Data Engineer IV performs complex data operations focusing on transformation...

Location

United States , Birmingham

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, software engineering, or a related field
eight (8) or more years of related experience
or an equivalent combination
Cloud data engineering experience (Google Cloud Platform, AWS, Azure or similar)
SQL
Python
AI/ML
Ability to automate and operationalize machine learning workflows
Applies knowledge to analyze and develop solutions to highly complex problems
Develops and maintains a thorough knowledge of key business processes, current and future requirements, and key success factors

Job Responsibility

Design and build scalable data pipelines for ETL processes
Develop transformation logic to clean, standardize, and transform data
Integrate raw information from diverse sources to create unified datasets
Implement data validation processes, quality checks, and error handling
Maintain data consistency across systems
Optimize data infrastructure including databases and data warehouses
Collaborate with data scientists, analysts, and other teams
Performance tuning of database and query performance
Manage critical projects, customer engagements or business processes and advise junior team members
Mentor developers with code reviews, design reviews and unit test plan reviews

What we offer

Healthcare coverage
401(k)
Tuition reimbursement
Vacation pay
Sick pay
Holiday pay
Flexible Working Schedules
Wellbeing Programs
Learning Opportunities
Community Engagement

Fulltime

Image Processing Engineer IV

At KARL STORZ, we’re dedicated to advancing medical technology and improving pat...

Location

United States , Goleta

Salary:

131900.00 - 171500.00 USD / Year

KARL STORZ

Expiration Date

Until further notice

Requirements

Bachelor's degree in Electrical Engineering (Signal Processing emphasis) or equivalent
10-12 years of experience in image processing or related field
Strong knowledge of medical device quality system regulations and standards
Experience with real-time algorithm development using MATLAB-Simulink, FPGA and/or GPU design tools.
Excellent communication and leadership skills

Job Responsibility

Develop and implement image processing algorithms for camera systems
Perform system modeling, signal analysis, and characterization of imaging sensors
Develop and implement new features using classical DSP methods and/or Machine Learning models.
Design and verify FPGA-based modules using MATLAB-Simulink and/or GPU-based modules using CUDA and other tools.
Collaborate with project teams to define IP design architecture and ensure product quality
Provide technical leadership and mentorship to junior engineers
Support existing product lines and perform competitive evaluations

What we offer

Medical / Dental / Vision including a state-of-the-art wellness program and pet insurance
3 weeks vacation, 11 holidays plus paid sick time
Up to 8 weeks of 100% paid company parental leave
401(k) retirement savings plan providing a match of 60% of the employee’s first 6% contribution
Section 125 Flexible Spending Accounts
Life, STD, LTD & LTC Insurance
Tuition pre-imbursement up to $5,250 per year
Fitness reimbursement of up to $200 annually

Fulltime

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 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, Software Engineering, Mathematics, or a related technical field
10+ years of experience creating, training, and deploying AI or machine learning models
Proficiency in programming languages such as Python, R, or Java
Strong foundation in mathematics and statistics including linear algebra, calculus, probability, and statistical modeling
Hands on experience with machine learning frameworks and libraries such as TensorFlow or PyTorch
Experience converting models into production ready components such as microservices, APIs, or embedded libraries
Ability to collaborate effectively across interdisciplinary teams and communicate complex concepts clearly
Understanding of performance tuning, optimization techniques, and real time or near real time system considerations

Job Responsibility

Develop AI and machine learning models that enable systems to learn from data, make predictions, and support autonomous decision making
Design and implement algorithms capable of processing, analyzing, and interpreting large datasets efficiently
Embed AI models directly into software products including perception systems, planning modules, and core platform services
Convert AI and ML models into scalable services, APIs, or libraries for production use
Tune AI driven systems for latency, performance, and product level requirements to support real time or safety critical applications
Work closely with data scientists, software engineers, domain experts, and business stakeholders to define project requirements and deliver solutions that align with organizational goals
Conduct thorough testing, validation, and evaluation of AI models to ensure accuracy, reliability, and stability across deployments
Monitor the performance of AI systems in production and implement updates, improvements, or optimizations as needed

What we offer

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

Fulltime

AI 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, Software Engineering, Mathematics, or a related technical field
10+ years of experience creating, training, and deploying AI or machine learning models
Proficiency in programming languages such as Python, R, or Java
Strong foundation in mathematics and statistics including linear algebra, calculus, probability, and statistical modeling
Hands on experience with machine learning frameworks and libraries such as TensorFlow or PyTorch
Experience converting models into production ready components such as microservices, APIs, or embedded libraries
Ability to collaborate effectively across interdisciplinary teams and communicate complex concepts clearly
Understanding of performance tuning, optimization techniques, and real time or near real time system considerations

Job Responsibility

Develop AI and machine learning models that enable systems to learn from data, make predictions, and support autonomous decision making
Design and implement algorithms capable of processing, analyzing, and interpreting large datasets efficiently
Embed AI models directly into software products including perception systems, planning modules, and core platform services
Convert AI and ML models into scalable services, APIs, or libraries for production use
Tune AI driven systems for latency, performance, and product level requirements to support real time or safety critical applications
Work closely with data scientists, software engineers, domain experts, and business stakeholders to define project requirements and deliver solutions that align with organizational goals
Conduct thorough testing, validation, and evaluation of AI models to ensure accuracy, reliability, and stability across deployments
Monitor the performance of AI systems in production and implement updates, improvements, or optimizations as needed

What we offer

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

Fulltime

AI Infrastructure 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, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

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

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Machine Learning Engineer IV

Requirements

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