Machine Learning Engineer
Roboflow$200,000 - $275,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
$150,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this Software Engineer position?
The salary range is $150K - $250K.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What skills are required for this Software Engineer - Model Performance role?
Required skills include experience with Python or C++, familiarity with LLM optimization techniques like quantization and speculative decoding, strong knowledge of ML libraries such as PyTorch or TensorRT-LLM, and deep understanding of GPU architecture.
What benefits does Baseten offer?
Benefits include a competitive compensation package with unlimited PTO, 401k, and covered healthcare premiums, along with an inclusive and supportive work culture.
What makes a strong candidate for this role?
Strong candidates have a degree in Computer Science or related field, hands-on experience with LLMs and optimization techniques, plus bonus points for CUDA proficiency, Docker/Kubernetes experience, and a track record in AI/ML inference solutions.
Baseten
Platform for deploying and managing ML models
About Baseten
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees
Benefits
💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.
🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.
🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.
🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.
🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.
🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.
📈 401(k): Company-sponsored 401(k) for you to contribute to.
🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.
Risks
Increased competition from specialized AI models tailored for specific industries.
Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.
Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.
Differentiation
Baseten offers a serverless backend for machine-learning applications with auto-scaling.
Truss, an open-source model packaging framework, allows seamless deployment of custom models.
Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.
Upsides
Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.
$40M Series B funding enhances Baseten's platform capabilities and market reach.
Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.
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