High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now!
Snowflake
High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now!
Job Description
Senior ML Architect, Applied Field Engineering at Snowflake
Role Overview
As a Senior ML Architect in Applied Field Engineering at Snowflake, you will be at the forefront of helping enterprises leverage the power of AI and ML on the Snowflake AI Data Cloud. This role is pivotal in guiding customers through the design, architecture, and implementation of AI/ML solutions, ensuring they achieve their full potential. You'll work directly with technical decision-makers and data scientists, providing strategic and technical advisory services, as well as hands-on expertise. This is a highly visible role that requires a blend of technical acumen, customer-facing skills, and collaboration with internal teams.
Day in the Life
A typical day might involve:
- Meeting with customers to understand their AI/ML needs and challenges.
- Designing and architecting AI/ML solutions on the Snowflake platform.
- Leading proof-of-concept (POC) projects to demonstrate the value of Snowflake's capabilities.
- Presenting technical solutions and business value cases to executive audiences.
- Collaborating with product and engineering teams to influence the AI/ML roadmap.
- Creating and publishing content (blog posts, presentations, demos) to scale knowledge and best practices.
- Tailoring and maintaining sales engineering assets.
Why Remote, NC?
This position is offered as a remote role based in North Carolina, providing the flexibility to work from home while contributing to a leading technology company. North Carolina is a vibrant hub for technology and innovation, making it an ideal location for staying connected to industry trends and opportunities. Being remote allows you to balance work and personal life effectively, while still being part of a dynamic and collaborative team.
Career Path
Snowflake is committed to the growth and development of its employees. This Senior ML Architect role offers numerous opportunities for career advancement, including:
- Technical Leadership: Becoming a Principal Architect or a Technical Fellow, focusing on advanced technical solutions and mentorship.
- Management: Moving into a management role, leading a team of Solutions Architects and guiding their professional development.
- Product Management: Transitioning into a product management role, helping to define the future of Snowflake's AI/ML offerings.
- Sales Engineering Leadership: Leading sales engineering teams and driving customer adoption of Snowflake's AI/ML solutions.
Salary & Benefits
The estimated salary range for this position is $140,000 to $250,000 annually. Snowflake offers a comprehensive benefits package, including:
- Health Insurance: Comprehensive medical, dental, and vision coverage.
- Paid Time Off: Generous paid time off and holidays.
- Employee Stock Purchase Plan: Opportunity to purchase Snowflake stock at a discounted rate.
- Retirement Savings: 401(k) plan with company match.
- Life and Disability Insurance: Coverage to protect you and your family.
- Paid Parental Leave: Support for new parents.
- Employee Assistance Program: Resources for mental health and well-being.
- Wellness Programs: Initiatives to promote a healthy lifestyle.
- Professional Development: Opportunities for training and career growth.
- Tuition Reimbursement: Support for continuing education.
- Commuter Benefits: Assistance with commuting costs.
- Employee Referral Program: Incentives for referring qualified candidates.
- Company Events: Social events and activities to build camaraderie.
Innovation Culture
Snowflake fosters a culture of innovation, collaboration, and impact. Employees are encouraged to think big, move fast, and take technology to the next level. The company is committed to providing a supportive and inclusive environment where everyone can thrive. Snowflake's dedication to innovation is reflected in its cutting-edge AI/ML offerings and its commitment to continuous improvement.
How to Apply
Interested candidates are encouraged to apply online through the Snowflake careers website. Please submit your resume and a cover letter highlighting your relevant experience and skills. Be sure to emphasize your experience with machine learning, generative AI, MLOps, and your ability to work with customers and internal teams.
FAQ
- What is the Snowflake AI Data Cloud? The Snowflake AI Data Cloud is a platform that enables organizations to build, deploy, and scale AI/ML solutions on a unified data platform.
- What skills are essential for this role? Essential skills include experience with machine learning, generative AI, MLOps, Python, and cloud platforms like AWS, Azure, or GCP.
- What is the career path for this role? Potential career paths include technical leadership, management, product management, and sales engineering leadership.
- What is the salary range for this position? The estimated salary range is $140,000 to $250,000 annually.
- What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, and retirement savings.
- What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and impact.
- How does Snowflake support professional development? Snowflake offers opportunities for training, tuition reimbursement, and career growth.
- What is the interview process like? The interview process typically includes a phone screening, technical interviews, and a final interview with hiring managers.
- What is the remote work policy? This position is offered as a remote role based in North Carolina.
- How can I learn more about Snowflake's AI/ML offerings? Visit the Snowflake website or contact a Snowflake sales representative for more information.
Locations
- Remote, NC, US (Remote)
Salary
140,000 - 250,000 USD / yearly
140,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- MLOpsintermediate
- Databricksintermediate
- SageMakerintermediate
- Pythonintermediate
- Pandasintermediate
- HuggingFaceintermediate
- XGBoostintermediate
- PyTorchintermediate
- TensorFlowintermediate
- SciKit-Learnintermediate
- Data Cleansingintermediate
- Feature Engineeringintermediate
- Model Optimizationintermediate
- LLMintermediate
- LangChainintermediate
- LlamaIndexintermediate
- NeMo-Guardintermediate
- AWSintermediate
- Microsoft Azureintermediate
- GCPintermediate
- Snowflakeintermediate
Required Qualifications
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
- MLOps experience on a major ML platform (e.g., Databricks, SageMaker): built shared pipelines/templates for teams and deployed/operated production models with monitoring and alerts; wrote unit/integration tests and used Git/CI. (experience)
- Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar. (experience)
- Data Cleansing skills. (experience)
- Experience working with large datasets, and performing data quality evaluation/checks. (experience)
- Feature engineering skills. (experience)
- Ability to determine relevant features for training and evaluation. (experience)
- Experience in optimization of model performance/accuracy. (experience)
- Experience with MLOps and lifecycle management. (experience)
- Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos (experience)
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. (experience)
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard. (experience)
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) (experience)
- 1+ years of practical Snowflake experience. (experience)
Responsibilities
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Build compelling AI ML demos and proof of concept (POCs) for customer
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- Provide strategic and technical advisory to customers on AI/ML solutions using Snowflake.
- Design and architect AI/ML solutions built on the Snowflake AI Data Cloud.
- Work closely with cross-functional teams (product, engineering, field organization).
- Ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
- Drive technical wins that prove the value of Snowflake’s AI and ML capabilities.
- Contribute to the development of AI and ML roadmaps.
Benefits
- general: Comprehensive health insurance (medical, dental, vision)
- general: Generous paid time off (PTO) and holidays
- general: Employee stock purchase plan (ESPP)
- general: Retirement savings plan (401k) with company match
- general: Life insurance and disability coverage
- general: Paid parental leave
- general: Employee assistance program (EAP)
- general: Wellness programs
- general: Professional development opportunities
- general: Tuition reimbursement
- general: Commuter benefits
- general: Employee referral program
- general: Company-sponsored events and activities
- general: Flexible work arrangements (depending on role)
- general: Stock options
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now! @ Snowflake.
Related Books and Jobs
High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now!
Snowflake
High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now!
Job Description
Senior ML Architect, Applied Field Engineering at Snowflake
Role Overview
As a Senior ML Architect in Applied Field Engineering at Snowflake, you will be at the forefront of helping enterprises leverage the power of AI and ML on the Snowflake AI Data Cloud. This role is pivotal in guiding customers through the design, architecture, and implementation of AI/ML solutions, ensuring they achieve their full potential. You'll work directly with technical decision-makers and data scientists, providing strategic and technical advisory services, as well as hands-on expertise. This is a highly visible role that requires a blend of technical acumen, customer-facing skills, and collaboration with internal teams.
Day in the Life
A typical day might involve:
- Meeting with customers to understand their AI/ML needs and challenges.
- Designing and architecting AI/ML solutions on the Snowflake platform.
- Leading proof-of-concept (POC) projects to demonstrate the value of Snowflake's capabilities.
- Presenting technical solutions and business value cases to executive audiences.
- Collaborating with product and engineering teams to influence the AI/ML roadmap.
- Creating and publishing content (blog posts, presentations, demos) to scale knowledge and best practices.
- Tailoring and maintaining sales engineering assets.
Why Remote, NC?
This position is offered as a remote role based in North Carolina, providing the flexibility to work from home while contributing to a leading technology company. North Carolina is a vibrant hub for technology and innovation, making it an ideal location for staying connected to industry trends and opportunities. Being remote allows you to balance work and personal life effectively, while still being part of a dynamic and collaborative team.
Career Path
Snowflake is committed to the growth and development of its employees. This Senior ML Architect role offers numerous opportunities for career advancement, including:
- Technical Leadership: Becoming a Principal Architect or a Technical Fellow, focusing on advanced technical solutions and mentorship.
- Management: Moving into a management role, leading a team of Solutions Architects and guiding their professional development.
- Product Management: Transitioning into a product management role, helping to define the future of Snowflake's AI/ML offerings.
- Sales Engineering Leadership: Leading sales engineering teams and driving customer adoption of Snowflake's AI/ML solutions.
Salary & Benefits
The estimated salary range for this position is $140,000 to $250,000 annually. Snowflake offers a comprehensive benefits package, including:
- Health Insurance: Comprehensive medical, dental, and vision coverage.
- Paid Time Off: Generous paid time off and holidays.
- Employee Stock Purchase Plan: Opportunity to purchase Snowflake stock at a discounted rate.
- Retirement Savings: 401(k) plan with company match.
- Life and Disability Insurance: Coverage to protect you and your family.
- Paid Parental Leave: Support for new parents.
- Employee Assistance Program: Resources for mental health and well-being.
- Wellness Programs: Initiatives to promote a healthy lifestyle.
- Professional Development: Opportunities for training and career growth.
- Tuition Reimbursement: Support for continuing education.
- Commuter Benefits: Assistance with commuting costs.
- Employee Referral Program: Incentives for referring qualified candidates.
- Company Events: Social events and activities to build camaraderie.
Innovation Culture
Snowflake fosters a culture of innovation, collaboration, and impact. Employees are encouraged to think big, move fast, and take technology to the next level. The company is committed to providing a supportive and inclusive environment where everyone can thrive. Snowflake's dedication to innovation is reflected in its cutting-edge AI/ML offerings and its commitment to continuous improvement.
How to Apply
Interested candidates are encouraged to apply online through the Snowflake careers website. Please submit your resume and a cover letter highlighting your relevant experience and skills. Be sure to emphasize your experience with machine learning, generative AI, MLOps, and your ability to work with customers and internal teams.
FAQ
- What is the Snowflake AI Data Cloud? The Snowflake AI Data Cloud is a platform that enables organizations to build, deploy, and scale AI/ML solutions on a unified data platform.
- What skills are essential for this role? Essential skills include experience with machine learning, generative AI, MLOps, Python, and cloud platforms like AWS, Azure, or GCP.
- What is the career path for this role? Potential career paths include technical leadership, management, product management, and sales engineering leadership.
- What is the salary range for this position? The estimated salary range is $140,000 to $250,000 annually.
- What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, and retirement savings.
- What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and impact.
- How does Snowflake support professional development? Snowflake offers opportunities for training, tuition reimbursement, and career growth.
- What is the interview process like? The interview process typically includes a phone screening, technical interviews, and a final interview with hiring managers.
- What is the remote work policy? This position is offered as a remote role based in North Carolina.
- How can I learn more about Snowflake's AI/ML offerings? Visit the Snowflake website or contact a Snowflake sales representative for more information.
Locations
- Remote, NC, US (Remote)
Salary
140,000 - 250,000 USD / yearly
140,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- MLOpsintermediate
- Databricksintermediate
- SageMakerintermediate
- Pythonintermediate
- Pandasintermediate
- HuggingFaceintermediate
- XGBoostintermediate
- PyTorchintermediate
- TensorFlowintermediate
- SciKit-Learnintermediate
- Data Cleansingintermediate
- Feature Engineeringintermediate
- Model Optimizationintermediate
- LLMintermediate
- LangChainintermediate
- LlamaIndexintermediate
- NeMo-Guardintermediate
- AWSintermediate
- Microsoft Azureintermediate
- GCPintermediate
- Snowflakeintermediate
Required Qualifications
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
- MLOps experience on a major ML platform (e.g., Databricks, SageMaker): built shared pipelines/templates for teams and deployed/operated production models with monitoring and alerts; wrote unit/integration tests and used Git/CI. (experience)
- Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar. (experience)
- Data Cleansing skills. (experience)
- Experience working with large datasets, and performing data quality evaluation/checks. (experience)
- Feature engineering skills. (experience)
- Ability to determine relevant features for training and evaluation. (experience)
- Experience in optimization of model performance/accuracy. (experience)
- Experience with MLOps and lifecycle management. (experience)
- Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos (experience)
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. (experience)
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard. (experience)
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) (experience)
- 1+ years of practical Snowflake experience. (experience)
Responsibilities
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Build compelling AI ML demos and proof of concept (POCs) for customer
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- Provide strategic and technical advisory to customers on AI/ML solutions using Snowflake.
- Design and architect AI/ML solutions built on the Snowflake AI Data Cloud.
- Work closely with cross-functional teams (product, engineering, field organization).
- Ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
- Drive technical wins that prove the value of Snowflake’s AI and ML capabilities.
- Contribute to the development of AI and ML roadmaps.
Benefits
- general: Comprehensive health insurance (medical, dental, vision)
- general: Generous paid time off (PTO) and holidays
- general: Employee stock purchase plan (ESPP)
- general: Retirement savings plan (401k) with company match
- general: Life insurance and disability coverage
- general: Paid parental leave
- general: Employee assistance program (EAP)
- general: Wellness programs
- general: Professional development opportunities
- general: Tuition reimbursement
- general: Commuter benefits
- general: Employee referral program
- general: Company-sponsored events and activities
- general: Flexible work arrangements (depending on role)
- general: Stock options
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior ML Architect Careers at Snowflake - Remote, NC | Apply Now! @ Snowflake.
Related Books and Jobs