Applied Machine Learning Engineer - Atlanta, United States - Furniture Inc

Description

About The JobWe are a high-growth startup backed by one of Americas top furniture retailers.

We are looking for a Machine Learning Engineer who will help to shape and implement data strategies and machine learning operations to ensure the company stays on the leading edge of technology and delivers solutions for consumers and partners.

You will contribute across the whole organization, from marketing, sales, to product, and help to build solid relationships with our customers.

As an applied machine learning engineer on our team, youll utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver business solutions and innovative technologies and assist with enabling and developing machine learning operations at scale.

Our team is proud of our mission-driven and passionate approach to building solutions and working together, and we are looking for an intellectually curious and energetic individual who can replicate this model and mindset across our ML initiatives.

Being a dynamic and collaborative team player and creative thinker who has fun tackling complex problems at scale, a strong relationship builder who thrives in a fast-paced environment, and an efficient and organized engineer are characteristics we would love to see in our next team member.

ResponsibilitiesDesign, build, and productionize machine learning models to provide business enhancements, solve business challenges, and enable creativity and innovation.

Frame machine learning problems and/or machine learning opportunities to enable business value, create and test proof-of-concepts, and architect machine learning solutions, ensuring both creativity and relevance.

Create scalable processes and strategies for optimal model performance with knowledge of training, retraining, deploying, scheduling, monitoring, improving models, and MLAssist team in creating machine learning operations strategies and solutions with Databricks.

Implement end-to-end solutions for batch and real-time algorithms and predictions.

Assist team and adjacent teams with delivery of machine learning projects from beginning to end, including business case definition and scoping, data ingestion and automation requirements, algorithm selections and model development, model deployments, and model integrations to the organization.

Translate business requirements and user needs into data stories.
Help maintain analytics data systems and databases.
Use fundamental statistical analysis to interpret data, paying particular attention to trends and patterns.
QualificationsBachelors / Masters degree in a quantitative field.
At least 2 years of experience in Machine Learning field, or Machine Learning Model building.
Experience in Databricks. Experience and knowledge in Databricks ML Flow is a huge bonus.
Expertise in model machine learning frameworks and technologies (g. Scikit-learn, Numpy, Pandas, PyTorch)Familiarity with Natural Language Processing (NLP) and advanced techniques.
Experience working with SQL and NoSQL databases.

Strong Python and SQL skillsAbout The CompanyThe company is a high-growth consumer tech venture addressing fundamental challenges in the $200B US furniture space.

The company is a B2B and B2C digital aggregator with a simple mission:
to connect furniture customers with the products they desire.

For consumers, we make it easy to find the right furniture by enhancing search and streamlining their end-to-end customer experience.

For retail partners, we deliver a digital platform allowing them to expand their reach with a high-intent furniture audience. The site experience and discovery tools will differentiate us. The site design and content will drive brand recognition and loyalty allowing us to capitalize on this market. We are backed by a top-5 furniture retailer in the US.

The business is unique in that it will operate with the agility and innovation of a startup, yet with the robust resources and industry knowledge set of an established brand.

We offer a competitive salary + bonus + benefits. The salary will depend on the seniority level, expertise, and performance during the interview process.
The company is an equal opportunity employer.

We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

Applicants must be authorized to work in the U.S.#J-18808-Ljbffr