Sr. Computer Vision and Machine Learning Engineer Job at Invonto (Bridgewater)

Sr. Applied Research Scientist

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in pretraining the next generation of Runway’s multimodal models

Fulltime

Sr Software Engineer - Machine Learning

We are building the future of Uber's mobility and logistics platforms. As a soft...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience
Proficiency in at least one programming language such as Java, C++, Python, or Go
3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.

Job Responsibility

Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies
Leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems
Design, build, and deploy scalable machine learning models to production to solve real-world business problems
Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Write clean, testable, and efficient code to ensure models run with low latency and high reliability
Implement monitoring systems to track model performance, stability, and data drift in live environments
Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits (see link)

Fulltime

Sr. Data Scientist

We are currently seeking a Sr. Data Scientist (REMOTE) to join our team in Mexic...

Location

Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

PHD
2 yrs of work experience
Manufacturing experience (machine data, IOT data)
Computer vision/Gen AI
Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively
Proficient in analyzing and modeling big data utilizing statistical, machine learning, deep learning, and computer vision techniques
Expertise in transforming ambiguous questions into impactful experiments, analysis, or models
Familiarity with modeling requirements for Customer 360 and Customer Journey
Experience with Machine Learning platforms (AWS SageMaker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau)
Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable

Job Responsibility

Collaborate closely with business teams to ideate and align on Data Science solutions for addressing diverse business challenges
Perform exploratory data analysis (EDA) on source data from the Big Data Platform data lake, Data Science Platform, and other relevant Battery Manufacturing datasets to address specific use cases
Develop, maintain, and enhance Machine Learning (ML), Deep Learning (DL) and Computer Vision (CV) (Must have) models using transformed data, primarily leveraging Python and Spark-ML algorithms
Apply optimization techniques, including hyperparameter tuning, to improve the performance of ML and DL models
Provide decision-support analytics to assist in business strategy formulation or address specific business challenges when needed
Actively participate in daily stand-ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies, providing progress updates and collaborating with the team
Engage in ideation sessions with business user groups to gather requirements and ensure alignment with business objectives
Present insights, findings, and results clearly to product owners and stakeholders, ensuring they understand and can make informed decisions
Contribute to validating and prioritizing the product backlog, managing risks, and ensuring the smooth execution of sprint tasks
Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations

Data Scientist Sr

We are currently seeking a Data Scientist Sr (Remote) to join our team in Mexico...

Location

Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

PHD
2 yrs of work experience
Manufacturing experience (machine data, IOT data)
Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively
Proficient in analyzing and modeling big data utilizing statistical, machine learning, deep learning, and computer vision techniques
Expertise in transforming ambiguous questions into impactful experiments, analysis, or models
Familiarity with modeling requirements for Customer 360 and Customer Journey
Experience with Machine Learning platforms (AWS SageMaker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau)
Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable

Job Responsibility

Collaborate closely with business teams to ideate and align on Data Science solutions for addressing diverse business challenges
Perform exploratory data analysis (EDA) on source data from the Big Data Platform data lake, Data Science Platform, and other relevant Battery Manufacturing datasets to address specific use cases
Develop, maintain, and enhance Machine Learning (ML), Deep Learning (DL) and Computer Vision (CV) (Must have) models using transformed data, primarily leveraging Python and Spark-ML algorithms
Apply optimization techniques, including hyperparameter tuning, to improve the performance of ML and DL models
Provide decision-support analytics to assist in business strategy formulation or address specific business challenges when needed
Actively participate in daily stand-ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies, providing progress updates and collaborating with the team
Engage in ideation sessions with business user groups to gather requirements and ensure alignment with business objectives
Present insights, findings, and results clearly to product owners and stakeholders, ensuring they understand and can make informed decisions
Contribute to validating and prioritizing the product backlog, managing risks, and ensuring the smooth execution of sprint tasks
Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations

Senior Machine Learning Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Boston

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Seattle

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Sr. Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our StudioLAB team – an innov...

Location

United States , Burbank

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Machine Learning, or related technical field with 5+ years of professional experience
Strong track record of developing and deploying machine learning models in production environments
7+ years of Python software engineering experience with a focus on building scalable applications
Proficient in modern ML frameworks and libraries (PyTorch, TensorFlow, Scikit-learn)
Experience with software development best practices (Git, testing, code reviews)
Strong understanding of ML fundamentals including model training, validation and evaluation methods
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
Knowledge of data structures, algorithms, and system design principles
Excellent problem-solving skills and ability to work independently and as part of a team
Strong communication skills with the ability to explain completed technical concepts clearly

Job Responsibility

Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow
Implement ML models for diverse use cases including computer vision, generative AI, and optimization problems
Participate in the full ML lifecycle from data preparation to model deployment and monitoring
Test and benchmark academic papers, ML applications and tools to identify cutting-edge approaches
Stay current with ML research trends and evaluate their potential application to studio needs
Contribute to internal knowledge sharing and potentially external publications
Guide technology transfer both to and from external teams and research partners
Work closely with our partners across the Studios to understand and address their technical needs
Communicate complex ML concepts to both technical and non-technical stakeholders
Maintain high code quality standards with proper testing, documentation and version control

What we offer

medical, dental, and vision coverage
a 401(k) with company match
short-term disability
life insurance with AD&D

Fulltime

Sr. Computer Vision and Machine Learning Engineer

Invonto

Location:
United States , Bridgewater

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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