jobs.lever.co - ATS
Senior Machine Learning Engineer with StackedSP Inc
jobs.lever.co - ATS, San Francisco, California, United States, 94199
About the company:Company Size
- 25 PeopleApprox Funding
- $30MCompany Stage
- Series ABacked by : Databricks Ventures, Bain Capital Ventures, Menlo VenturesIndustry
- AI, ML, Databases, DCAIFounding year
- 2021Tech Stack/Technologies:
Python, PyTorch, Hugging Face, and LangChain for AI and ML innovation. AWS, Docker, and Git support deployment and collaboration. Jenkins, Sagemaker, MLflow, and Ray enhance continuous integration and scalable computing. Tools for ELT and data cleansing are also integral to the workflow.We're looking for a Machine Learning Engineer to:Develop cutting-edge models for a leading AI platform alongside MIT PhDs, who are veterans of the top tech companies in the world.Pioneer novel software systems for the rapidly growing field of data-centric AI.
The platform has several tools that automatically find & fix issues in datasets.Use the
latest tooling and ML models at a dynamic startup
to
create the best cloud-based solutions
for our current and future customers.Collaborate on interdisciplinary projects, combining ML expertise with software engineering to
create innovative solutions for complex data challenges.Contribute to open-source projects and
publish research in top ML conferences as you push the boundaries of DCAI.Engage with enterprise customers to
understand their data challenges and provide tailored AI solutions.What you'll need:A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university.4+ years of professional software engineering
in a fast-paced, product-focused environment developing and deploying ML models.Deep
understanding of open-source libraries, frameworks, and systems combined with experience in data pre-processing, feature engineering, model selection, and evaluation.Active GitHub contributions,
with projects over 1000 stars or as a main contributor to a notable
repo.Expertise with machine learning frameworks such as TensorFlow, Keras, or
PyTorch.Previous
early-stage employee or founder experience at a venture-backed tech company
is strongly preferred.Desire and ability to learn quickly, take professional initiative, and work in a fast-paced environment.What you'll get:Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.Comprehensive benefits include
premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.Unique travel allowance.Unprecedented career progression opportunities.The opportunity to
work with brilliant founders, solving some of the most complex data problems in the world.$140,000 - $200,000 a yearCompensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.
#J-18808-Ljbffr
- 25 PeopleApprox Funding
- $30MCompany Stage
- Series ABacked by : Databricks Ventures, Bain Capital Ventures, Menlo VenturesIndustry
- AI, ML, Databases, DCAIFounding year
- 2021Tech Stack/Technologies:
Python, PyTorch, Hugging Face, and LangChain for AI and ML innovation. AWS, Docker, and Git support deployment and collaboration. Jenkins, Sagemaker, MLflow, and Ray enhance continuous integration and scalable computing. Tools for ELT and data cleansing are also integral to the workflow.We're looking for a Machine Learning Engineer to:Develop cutting-edge models for a leading AI platform alongside MIT PhDs, who are veterans of the top tech companies in the world.Pioneer novel software systems for the rapidly growing field of data-centric AI.
The platform has several tools that automatically find & fix issues in datasets.Use the
latest tooling and ML models at a dynamic startup
to
create the best cloud-based solutions
for our current and future customers.Collaborate on interdisciplinary projects, combining ML expertise with software engineering to
create innovative solutions for complex data challenges.Contribute to open-source projects and
publish research in top ML conferences as you push the boundaries of DCAI.Engage with enterprise customers to
understand their data challenges and provide tailored AI solutions.What you'll need:A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university.4+ years of professional software engineering
in a fast-paced, product-focused environment developing and deploying ML models.Deep
understanding of open-source libraries, frameworks, and systems combined with experience in data pre-processing, feature engineering, model selection, and evaluation.Active GitHub contributions,
with projects over 1000 stars or as a main contributor to a notable
repo.Expertise with machine learning frameworks such as TensorFlow, Keras, or
PyTorch.Previous
early-stage employee or founder experience at a venture-backed tech company
is strongly preferred.Desire and ability to learn quickly, take professional initiative, and work in a fast-paced environment.What you'll get:Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.Comprehensive benefits include
premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.Unique travel allowance.Unprecedented career progression opportunities.The opportunity to
work with brilliant founders, solving some of the most complex data problems in the world.$140,000 - $200,000 a yearCompensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.
#J-18808-Ljbffr