What are the responsibilities and job description for the Staff Applied AI Scientist position at Signify Technology?
Job Title: Staff Applied Scientist
Salary: $250K Competitive Equity
Location: Onsite in Mountain View
A well-funded Series A startup is hiring a Staff Applied Scientist to tackle some of the most complex data. This company is redefining how the world’s largest organizations engage with their customers. Their platform already powers real-time customer decision-making for top global enterprises at scale.
In this role you will design and deploy applied machine learning systems that drive measurable business outcomes in production. You’ll work closely with engineers and product leaders to ship large-scale models across verticals like customer conversion, personalization, and intelligent automation. This is a deeply technical role at the intersection of model design, experimentation, and scalable deployment. If you have experience working with large complex data sets, Recommender Systems, and are looking to join a rapidly expanding startup, then apply today!
Requirements
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion
Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Salary: $250K Competitive Equity
Location: Onsite in Mountain View
A well-funded Series A startup is hiring a Staff Applied Scientist to tackle some of the most complex data. This company is redefining how the world’s largest organizations engage with their customers. Their platform already powers real-time customer decision-making for top global enterprises at scale.
In this role you will design and deploy applied machine learning systems that drive measurable business outcomes in production. You’ll work closely with engineers and product leaders to ship large-scale models across verticals like customer conversion, personalization, and intelligent automation. This is a deeply technical role at the intersection of model design, experimentation, and scalable deployment. If you have experience working with large complex data sets, Recommender Systems, and are looking to join a rapidly expanding startup, then apply today!
Requirements
- Ph.D. in STEM field (e.g., Computer Science, Statistics, Machine Learning, etc.)
- 7 years of post-PhD experience solving large-scale ML or data science problems
- Experience working with extremely large datasets in production (e.g., ad tech, recommender systems)
- Proven ability to design, test, and iterate on ML models in real-world customer environments
- Strong programming skills in Python and PyTorch
- Comfortable navigating product complexity and data ambiguity in fast-moving environments
- Equity
- Medical, Dental, and Vision Insurance
- Paid Time Off
- Work alongside TOP Scientists from Google/Meta/MIT
- Opportunity to shape foundational systems and influence company direction
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion
Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Salary : $250,000