Remote Customer Success Engineer - San Francisco, CA, United States - ADMR, la référence du service à la personne

Description

Our products aim to do one thing: save startup founders and small business owners time, money, and peace of mind.

We started by demystifying complicated tax credits, saving over $100M – and countless hours of tax code research ????– Before joining MainStreet, we helped build companies like Intuit, PayPal, Google, Apple, Coinbase, Gusto, LinkedIn, Slack, and more.

You will work closely with a team of talented engineers and data scientists to create intelligent systems that solve complex problems and unlock new possibilities that lead to dollars earned for our customers.

Design, build, and optimize machine learning models and algorithms that can be deployed on various platforms and integrated into our products

Data Preprocessing:
Prepare and clean datasets to ensure they are suitable for model training and validation, while addressing issues such as missing data and outliers

Model Training and Evaluation:
Train machine learning models using vast datasets, validate their performance, and fine-tune hyperparameters to achieve optimal accuracy and generalization

Integration and Deployment:
Collaborate with software engineering teams to integrate machine learning models into production systems and ensure seamless deployment in real-world environments

Performance Monitoring:
Implement monitoring and logging mechanisms to track model performance in production and detect potential anomalies or degradation in accuracy
Conduct thorough analysis of model performance, identify areas for improvement, and iterate on existing models to enhance their effectiveness

Collaboration:
Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and stakeholders, to define project requirements and ensure alignment with business objectives
Create clear and comprehensive documentation for models, algorithms, and implementation processes, enabling easy knowledge transfer within the team
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrable experience in developing and deploying machine learning models in real-world applications.

(Programming Skills:

Proficiency in programming languages like Python, R, or similar, along with experience in using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn

Deep Learning:
Familiarity with deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models

Data Handling:
Experience with data preprocessing, feature engineering, and data augmentation techniques to enhance model performance

Software Engineering:
Understanding of software engineering principles, version control, and the ability to write clean, modular, and maintainable code
Benefits including medical, dental, vision, disability, life, and 401k

From complex government tax credits to exclusive discounts on the tools you use every day, we save you thousands of dollars, hundreds of hours, and countless headaches.

Throughout the year, you'll track expenses and savings through your MainStreet dashboard and tag us in on big purchases and contract negotiations.

Come tax season, we'll do the paperwork and even let your CPA take all the credit.

Consider us your silent partner-in-savings, your financial secret weapon, your smart (not a) bank – whatever you want to call us.

We've got your back so you can get back to building your business.

We've raised over $60M from an incredible community of partners, operators, and founders, including SignalFire (who led our Series A), Ryan Hoover (Product Hunt founder), Ashton Kutcher's Sound Ventures, Des Traynor (Intercom co-founder), Gradient Ventures (a Google Venture Fund), Ron Conway's fund SV Angel, Shrug Capital, and Tusk Ventures.

How we think about diversity
We try to make sure the diversity of our customers is reflected in the team that serves them.

Because when we include people of all races, genders, sexual orientations, ages, and identities — we end up building a better experience for everyone who uses MainStreet.

So, if your lived experience has given you a unique perspective on business, startups, or any other aspect of our business – even if you don't meet all the requirements – please still apply and let us know so we can make sure your application gets the attention it deserves.

Flexible time off, full medical coverage, annual bonus
MainStreet's Employee Net Promoter Score (eNPS) is 60, as rated by 35 employees.