Machine Learning Engineer
Qloo
Date: 1 week ago
City: Remote, Remote
Salary:
$110,000
-
$180,000
per year
Contract type: Full time
Remote
The Company You’ll Join
At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.
And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information.
Read more about our recent Series C funding here.
The team you’ll work with:
Reporting directly to the VP of Applied ML, you’ll be an integral part of the Applied Machine Learning (ML) team within the broader AI division. This team sits at the intersection of cutting-edge machine learning and business impact, collaborating closely with the Research & Development side of the AI team, the Data Engineering team, as well as cross-functional stakeholders like Product and Sales. Together, this collaborative environment drives the implementation and scaling of machine learning models to solve real-world problems. You’ll be focused on developing and maintaining models that directly support customer experiences and business goals, and you’ll regularly work across these teams to align the technical aspects of the models with the company’s strategic vision.
Hear what the team has to say – “...the fantastic team I work with creates an environment where we encourage each other and collaborate, which naturally leads to creative ideas. The complex technical challenges we face not only keep things interesting but also push us to find unique solutions, and AI constantly inspires me to excel in my role.” - Elizabeth, VP of Applied ML.
The impact you’ll have:
In this role, you will be responsible for maintaining existing data pipelines and continuously improving the end-to-end modeling process. A key focus will be enhancing and evolving our Geospatial and Taste Analysis models—two cornerstones of the company’s machine learning offerings. The Geospatial models are designed to predict entity affinities within specific regions, while the Taste Analysis models use advanced recommendation techniques to map customer preferences. This position offers an exciting opportunity to take on significant responsibilities, with limited oversight, allowing you to make a major impact on the future of the product.
You'll immediately provide value by:
Compensation determined based on experience and qualifications. To be discussed during interview process
At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.
And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information.
Read more about our recent Series C funding here.
The team you’ll work with:
Reporting directly to the VP of Applied ML, you’ll be an integral part of the Applied Machine Learning (ML) team within the broader AI division. This team sits at the intersection of cutting-edge machine learning and business impact, collaborating closely with the Research & Development side of the AI team, the Data Engineering team, as well as cross-functional stakeholders like Product and Sales. Together, this collaborative environment drives the implementation and scaling of machine learning models to solve real-world problems. You’ll be focused on developing and maintaining models that directly support customer experiences and business goals, and you’ll regularly work across these teams to align the technical aspects of the models with the company’s strategic vision.
Hear what the team has to say – “...the fantastic team I work with creates an environment where we encourage each other and collaborate, which naturally leads to creative ideas. The complex technical challenges we face not only keep things interesting but also push us to find unique solutions, and AI constantly inspires me to excel in my role.” - Elizabeth, VP of Applied ML.
The impact you’ll have:
In this role, you will be responsible for maintaining existing data pipelines and continuously improving the end-to-end modeling process. A key focus will be enhancing and evolving our Geospatial and Taste Analysis models—two cornerstones of the company’s machine learning offerings. The Geospatial models are designed to predict entity affinities within specific regions, while the Taste Analysis models use advanced recommendation techniques to map customer preferences. This position offers an exciting opportunity to take on significant responsibilities, with limited oversight, allowing you to make a major impact on the future of the product.
You'll immediately provide value by:
- Taking ownership of coding and documentation efforts, ensuring best practices and scalability
- Working on key models such as the Geospatial and Taste Analysis models, driving innovation and optimization
- Leading the design, rebuild, and improvement of key machine learning pipelines with minimal oversight
- Operating as a self-motivator who thrives in a collaborative environment, where their contributions can drive significant business impact
- 3+ years of experience in Machine Learning Engineering
- A degree in Mathematics, Engineering, Statistics, Computer Science, or Physics. Advanced degree preferred but not required
- Excellent communication, collaboration skills, and ability to dive into the weeds
- Strong Python, SQL, and/or PySpark skills
- Ability to work independently and manage multiple projects simultaneously
- Knowledge and experience with statistical modeling, especially in its application for ML modeling
- A “can-do” self-starter mentality with the ability to roll-up your sleeves, and thrive in a fast-paced, ambiguous start-up culture
- Potential equity package
- Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee
- 4% 401K matching
- 20 paid time off days
- 5 paid sick days
- 12 weeks of paid parental leave
- 10+ annual company holidays
- Opportunities for professional development and growth within a dynamic environment
- A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible
- The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology
- Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired
Compensation determined based on experience and qualifications. To be discussed during interview process
How to apply
To apply for this job you need to authorize on our website. If you don't have an account yet, please register.
Post a resumeSimilar jobs
iOs Developer
Purple Drive Technologies,
Remote, Remote
1 day ago
Experience Required: 5-10 yearsJob Type: Full-Time About Purple Drive Technologies: At Purple Drive Technologies, we specialize in providing comprehensive information technology services, consulting, and digital solutions tailored for enterprises and system integrators. Headquartered in Irvine, California, with a base in India, we pride ourselves on building effective teams through proven efficiencies. Required Technical Skills: Primary Skills: Strong proficiency in iOS...
Remote Data Typist (Entry-Level)
SkillersZone,
Remote, Remote
$20
-
$48
per hour
4 days ago
Job DescriptionWe're seeking an efficient and accurate Remote Data Typist to join our team. As an entry-level data typist, you'll enter information into our database system, maintain data accuracy, and perform various administrative tasks.ResponsibilitiesData Entry: Type information into database systems with high accuracy and speed.Data Management: Maintain data organization, update records, and perform data validation.Administrative Tasks: Assist with document scanning,...
Contract Technical Recruiter
Rialtic,
Remote, Remote
5 days ago
Contract Technical Recruiting SupportAbout RialticRialtic is an enterprise software platform empowering health insurers and healthcare providers to run their most critical business functions. Founded in 2020 and backed by leading investors including Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners, Rialtic's best-in-class payment accuracy product brings programs in-house and helps health insurance companies gain total control over processes...