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Job Source: Ceribell │ Point-of-Care EEGApplied Intuition Inc
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[Full Time] Software Engineer - Machine Learning at Prodigal (United States) | BEAMSTART Jobs Software Engineer - Machine Learning Prodigal United States
Date Posted
02 Aug, 2023
Work Location
Mountain View, United States
Salary Offered
Not Specified
Job Type
Full Time
Experience Required
No experience required
Remote Work
No
Stock Options
No
Vacancies
1 available
We are a fast-growing Bay Area-based startup backed by leading investors like Menlo Ventures, Accel and Y-Combinator. We create AI and ML-powered software for the finance and lending industries, focused on repayment and debt recovery. We work to improve conversations between call center agents and customers and provide actionable insights. Our products use AI to create next-generation speech analytics that support real-time agent guidance, automated notes after conversations, and call analysis for quality assurance and compliance.
The team has deep technical talent today and we believe there is an opportunity to build an iconic vertical software business that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Debt has such a massive impact on consumers and prior to Prodigal, the industry was saddled with painful, low value manual workflows, and poor customer experience- our mission is to humanize the debt repayment process through automation and data.
We are looking for a scrappy and detail-oriented Machine Learning Engineer to join our Data Science and Machine Learning team. In this role, you will work closely with data scientists and engineers to deploy and optimize ML models in production.
Responsibilities: Collaborate with fellow data scientists to implement and productionize machine learning models
Write clean, scalable code to integrate models into our tech stack
Perform model evaluations and testing to ensure robust, accurate performance
Monitor models post-deployment and tweak as needed to improve metrics
Troubleshoot issues with model pipelines and infrastructure
Contribute to the improvement of our ML architecture and frameworks
Prototype and fine-tune LLMs
Requirements: 6+ months of industry experience in a ML engineering role
Proficiency in Python; experience with frameworks like PyTorch
Understanding of ML fundamentals
Ability to debug and optimize model performance
Strong communication skills and ability to work cross-functionally
Attention to detail with a passion for metrics and measurement
Experience deploying models on AWS or other cloud platforms (preferred)
BS/MS degree in Computer Science, Statistics, Math or related field
What will you do: 30 Days Onboard and get familiar with our company systems and tech stack
Review existing ML pipelines and models in production
Setup development environment on AWS and reproduce/re-train existing models
Create your first PR
60 Days Take ownership of maintaining and improving 1-2 existing models
Take part in on-call rotations and troubleshoot issues in a timely manner
Contribute to ML design discussions on new projects
Prototype and fine-tune ML models on AWS
90 Days Demonstrate impact by shipping high-quality projects
Deploy an ML model end-to-end
Fine-tune LLMs on AWS using compute efficient techniques
Identify areas for improvement and growth
About you: You're the type of engineer who digs into problems hands-on and fixes things. You can focus on the small details but also see the full picture. You get excited when you figure out hard ML challenges. You can geek out with fellow data scientists but also explain things simply to other teams. You're always learning - whether it's the latest research or new engineering skills.
If you want to leave generic behind and grow your expertise in an exciting startup environment, we want to hear from you!
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following
Our Story
What shapes our thinking
Our website
About Prodigal Lending Intelligence Software Company Size: 51 - 250 People Year Founded: 2018 Country: United States Company Status: Actively Hiring Looking for Partners Looking for Clients Raising Funds Share This Job
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Email Alert for Software Engineer - Machine Learning jobs in Mountain View, CA, United States
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