- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Machine Learning Engineer, Collaboration.
Urgent! Senior Machine Learning Engineer, Collaboration Job Opening In Menlo Park – Now Hiring Snowflake
Snowflake is about empowering enterprises to achieve their full potential — and people too.
With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform.
Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users.
Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems.
We’re building a thriving collaborative ecosystem on Snowflake that is scalable and self-reinforcing to maximize data collaboration potential.
The Opportunity
As a Senior ML Engineer, you will be instrumental in designing, developing, and deploying applications leveraging ML to power generation of data products.
You will work with cutting-edge ML techniques to transform complex metadata into actionable insights, enabling our users to discover and leverage data like never before.
This is a unique chance to shape a product that fundamentally changes how organizations collaborate on data.
This is a unique opportunity to bridge ML research and production engineering, shaping a product that fundamentally changes how organizations collaborate on data.
Key Responsibilities
Design, build, and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, prompt engineering, evaluation, and deployment.
Collaborate with cross-functional teams to identify opportunities for applying ML to real-world problems.
Monitor, evaluate and improve agent performance
Stay up to date with research, frameworks, and techniques in ML/AI to apply where relevant
Minimum Qualifications
7+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production
Strong software engineering fundamentals: code quality, reproducibility, CI/CD best practices, debugging, testing, and documentation.
Proficiency in Python and core ML/data science frameworks such as Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch, and related ecosystem tools.
Understanding of modern ML applications, including deploying Gen-AI/LLM-based solutions with techniques like RAG, prompt chaining, or agentic workflows
Demonstrated hands-on experience solving applied ML problems end-to-end: data ingestion/preprocessing, feature and model selection, training, evaluation , deployment, and monitoring.
Familiarity with ML operations (MLOps), data/feature versioning, and collaborative software development (Git, containers, etc.).
Strong communication and teamwork skills; able to describe technical tradeoffs and engage both research scientists and software engineers.
Fluency in Java or Python and SQL
BS/MS/PHD in Computer Science or related majors, or equivalent experience
Bonus Qualifications
Familiarity with different types of machine learning approaches (supervised, reinforcement learning, contrastive learning) and their practical constraints in large-scale, dynamic code environments
Contributions to open source ML/AI projects or scientific publications; Participations in AI/ML competitions (, Kaggle)
Experience working in or with developer-facing infrastructure, build/test automation, or productionizing research prototypes
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Senior Machine Potential: Insight & Career Growth Guide
Real-time Senior Machine Jobs Trends in Menlo Park, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Machine in Menlo Park, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 192080 jobs in United States and 1402 jobs in Menlo Park. This comprehensive analysis highlights market share and opportunities for professionals in Senior Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Snowflake is currently hiring and seeking a Senior Machine Learning Engineer, Collaboration to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Machine Learning Engineer, Collaboration Jobs Menlo Park.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Snowflake adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Machine Learning Engineer, Collaboration Jobs United States varies, but the pay scale is rated "Standard" in Menlo Park. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Machine Learning Engineer, Collaboration typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Machine Learning Engineer, Collaboration, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Machine Learning Engineer, Collaboration interview at Snowflake, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Snowflake's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Senior Machine Learning Engineer, Collaboration is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!