Senior / Staff Machine Learning Engineer, CloseFactor
Automated sales research platform
Job no longer available
Automated sales research platform
21-100 employees
Job no longer available
21-100 employees
Company mission
To help companies identify their best customers, empower their sales forces at scale, and exceed growth expectations.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Familiarity with large language models, NLP, or generative AI, including their capabilities, limitations, and best practices for utilization
- Experience with recommendation engines and related techniques, including those in the areas of information retrieval, vector embeddings, and the cold-start problem
- Strong background in machine learning, statistical modeling, and data analysis
- Proficiency in programming languages such as Python and knowledge of relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience in designing and implementing machine learning algorithms, including both traditional and deep learning
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
- Familiarity with cloud platforms and technologies for deploying and scaling machine learning models (e.g. Google Cloud)
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into machine learning solutions
- Effective communication skills and the ability to work collaboratively in a team-oriented environment
- High confidence, low ego
What the job involves
- As a formative Machine Learning Engineer at CloseFactor, you will play a key role in driving the strategic direction of our platform
- Develop and propose strategic approaches for developing ML-based recommendation products, leveraging large language models and generative AI to enhance products
- Ensure the reliability, scalability and maintainability of machine learning pipelines and infrastructure, aligning them with our strategic objectives
- Design, develop, and deploy machine learning models to solve complex business problems related to sales intelligence and analytics
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements and implement machine learning solutions
- Collect, preprocess, and analyze large datasets to extract valuable insights and patterns
- Optimize and fine-tune existing machine learning models to improve their accuracy, performance, and scalability
- Stay updated with the latest advancements in machine learning and related technologies, and evaluate their potential applicability to our products
- Conduct experiments and evaluate the effectiveness of different machine learning algorithms and techniques
Our take
CloseFactor uses machine learning to curate unstructured information about companies and extract meaningful intelligence that go-to-market teams can act on. With the use of intelligence, companies can identify their best customers and in turn, empower their sales forces and accelerate growth.
Uniting data, insights, and workflow into a platform that connects go-to-market decisions, CloseFactor customers can see a 2-4X increase in high-quality pipelines and closed deals. The company already serves a wide array of clients including Zuora, LaunchDarkly, Turing, and Chronosphere. Its latest funding round is cited to support the scaling up of product development and its go-to-market team, as well as the introduction of several new workflow integrations.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jan 2023
$15m
SERIES A
Jun 2022
$4.5m
SEED
Total funding: $19.5m
Company benefits
- Health, Dental, and Vision insurance
- 401(k) plan
- Remote-friendly culture
Company HQ
Ventura, Palo Alto, CA
Leadership
Leena Joshi
(CEO)Over 20 years of experience spanning product management, product marketing, corporate marketing and business operations at Splunk, VMware, Redis Labs, Intel and advanced AI company, Petuum.
Ben Cheung
(COO)Two-time startup veteran, Ben has over 6 years of experience working on natural language processing technologies for an AI-based scheduling assistant at Microsoft and Geenee.
Erik Buchanan
(CTO)Previously ran the Engineering team at Connectifier, a recruiting technology company that was acquired by LinkedIn in 2016. Also ran AI for LinkedIn's core business.
Share this job