Machine Learning Data Scientist Job at Trimble Inc. (Westminster)

Data Engineer / Data Scientist – MLOps & Machine Learning

Location

United States , Charlotte

Salary:

70.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environments
Strong experience building or supporting MLOps workflows in Databricks
Hands-on experience with MLflow, including experiment tracking, model registry, and deployment workflows
Strong understanding of machine learning fundamentals and model lifecycle management
Solid data science foundation with understanding of ML theory, mathematics, and statistical concepts
Experience building, training, validating, and deploying machine learning models
Ability to explain model selection decisions and ML approaches clearly
Strong collaboration and communication skills with the ability to work well across cross-functional teams
Strong personality fit and ability to work effectively in team-oriented environments
Willingness to work onsite

Job Responsibility

Design, build, and support scalable machine learning and data workflows in cloud environments
Develop and maintain MLOps pipelines using Databricks and MLflow
Track, manage, and deploy machine learning models across environments
Work closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutions
Analyze large datasets and apply machine learning techniques to solve business problems
Support model monitoring, optimization, and continuous improvement initiatives
Collaborate on architecture, best practices, and scalable ML engineering standards

Data Engineer-Data Scientist – MLOps & Machine Learning

Seeking a highly analytical and hands-on Data Engineer / Data Scientist with str...

Location

United States , Suffolk

Salary:

70.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environments
Strong experience building or supporting MLOps workflows in Databricks
Hands-on experience with MLflow, including experiment tracking, model registry, and deployment workflows
Strong understanding of machine learning fundamentals and model lifecycle management
Solid data science foundation with understanding of ML theory, mathematics, and statistical concepts
Experience building, training, validating, and deploying machine learning models
Ability to explain model selection decisions and ML approaches clearly
Strong collaboration and communication skills with the ability to work well across cross-functional teams
Strong personality fit and ability to work effectively in team-oriented environments
Willingness to work onsite

Job Responsibility

Design, build, and support scalable machine learning and data workflows in cloud environments
Develop and maintain MLOps pipelines using Databricks and MLflow
Track, manage, and deploy machine learning models across environments
Work closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutions
Analyze large datasets and apply machine learning techniques to solve business problems
Support model monitoring, optimization, and continuous improvement initiatives
Collaborate on architecture, best practices, and scalable ML engineering standards

Fulltime

Machine Learning Data Scientist, Forecasting

The Strategic Finance team at OpenAI plays a critical role in shaping the compan...

Location

United States , San Francisco

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1

Job Responsibility

Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions
Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks
Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Waltham

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

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 highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

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

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Denver

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

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 highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

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

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Los Angeles

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

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 highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

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

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , North Bethesda

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

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 highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

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

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Lexington

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

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 highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

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Machine Learning Data Scientist

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