Machine Learning Engineer
Company: Optimove
Location: New York
Posted on: March 14, 2025
Job Description:
Optimove is a global marketing tech company, recognized as a
Leader by Forrester and a Challenger by Gartner. We work with some
of the world's most exciting brands, such as Sephora, Staples, and
Entain, who love our thought-provoking combination of art and
science. With a strong product, a proven business, and the DNA of a
vibrant, fast-growing startup, we're on the cusp of our next growth
spurt. It's the perfect time to join our team of -500 thinkers and
doers across NYC, LDN, TLV, and other locations, where 2 of every 3
managers were promoted from within. Growing your career with
Optimove is basically guaranteed.As a Machine Learning Engineer,
you will be working within our Personalization team, helping to
shape and drive the development of numerous products and
initiatives that allow our customers to personalise messages across
all digital touchpoints. This includes working with multi-modal
data such as images, text, and more, leveraging cutting-edge
technologies including Large Language Models (LLMs). This is an
exciting opportunity at the forefront of machine learning, helping
to bring Accessible Intelligence to our customers with great scope
to make a key difference across both OptiX and Optimove's overall
platforms.We are looking for an experienced Machine Learning
Engineer to work on incredibly interesting projects as we take our
personalization capabilities to the next level. You will focus on
developing and advancing ML/AI across our platforms, researching
and investigating new machine learning applications within the
company, and improving pre-existing models.Role & Core
Responsibilities
- Own the model development and release process across all
products and internal platforms, including both OptiX and
Optimove.
- Manage the cloud-hosted modelling environment.
- Operationalize models as APIs working in real-time and batch
environments.
- Monitor production models, ensuring data quality and model
performance.
- Develop predictive machine learning models for classification,
ranking, and personalization purposes, utilizing multi-modal data
including images and text.
- Leverage LLMs and other cutting-edge technologies to enhance
product capabilities.
- Research and investigate new machine learning applications
within the company, and improve on pre-existing models.
- Collaborate closely with product and development teams to
define and prepare new ML applications.
- Analyse performance and continuously improve scoring processes
for hosted models.Best Bits of the Job
- Exposure to a phenomenal array of machine learning domains,
including massive-scale search, ranking, NLP, hybridization,
classification, multi-modal data processing (images, text, etc.),
and far beyond.
- Leveraging state-of-the-art technologies, including Large
Language Models (LLMs), to enhance our products and services.
- Fully real-time architecture for data processing, model
development, and deployment.
- Deploying and enhancing ML frameworks, optimizing for
inference, and training/retraining cycles.
- Online testing for models with live data using proprietary
A/B/N testing technology to rapidly determine what works (and what
doesn't).
- A super-bright, supportive, and friendly machine learning team
to work with in an environment where rapid experimentation is the
norm.
- Regular time allocated to research new methods, build and test
proofs-of-concept, and deploy to production instantly if
effective.
- GPU support to efficiently train deep learning models.Minimum
Requirements
- Minimum 3 years of experience in a similar role.
- Strong programming skills and a good understanding of software
engineering principles and clean code practices.
- Expert-level knowledge of Python for machine learning and data
manipulation (pandas, NumPy).
- Advanced experience with SQL for data querying and
manipulation.
- Experience with Git, Bash, Docker, and machine learning
pipelines.
- Experience with open-source machine learning libraries like
scikit-learn, PyTorch, TensorFlow, and SciPy.
- Hands-on experience working with multi-modal data (images,
text) and relevant ML techniques.
- Experience with cloud technologies and data storage solutions,
including Snowflake.
- Understanding of personalization for various domains, including
sports betting and gaming, where it might add value and what best
practices look like.
- Full understanding of recommendation algorithms and their
applications.
- Professional experience in personalization and/or predictive
CRM, and micro-segmentation.
- Experience with CI/CD pipelines and Infrastructure as Code
(IaC) tools (Terraform, Bicep, etc.).
#J-18808-Ljbffr
Keywords: Optimove, New York , Machine Learning Engineer, Engineering , New York, New York
Didn't find what you're looking for? Search again!
Loading more jobs...