Machine Learning Engineer

Who We Are :

LIFELENZ is a rapidly growing team of 80+ mathematicians, engineers, designers, computer scientists, strategists and client success experts based in the U.S., Canada, Australia, and UK building a machine learning-based, advanced analytics workforce and human capital management platform. We have built and maintained over 20+ platforms over a 19-year period. We have won many awards for client delivery and collectively contributed to over 100+ global patents for complex software platforms. In the past 2 years, the business has been funded over $20M USD as we deliver metrics that will unlock our Series B funding in early Q1 2026, providing us with significant capital to accelerate our growth & expansion across verticals and geographies while further driving our dominance in the US QSR Top Brands market.

Our mission is to create optimized outcomes for both employers and employees.

LIFELENZ is an automated workforce and human capital management platform solving challenges related to onboarding, sales & labour forecasting, scheduling & time clock / keeping, insights & reporting and labour law compliance. It uses machine learning to automatically self-tune and self-manage models to a particular store with hyper-local attributes. The technology approach and analytic methodologies used enable the distribution across large-scale centralized ownership and highly fragmented franchised ownership companies.

What we're looking for

The role of the LIFELENZ Machine Learning Engineer is to aid in the designing, training, experimenting, production deployment, and monitoring of machine learning models that are developed in alignment with our mission - to build and grow a global AI-optimized scheduling and forecasting platform that will empower and reward people within the fast-food and Quick Service Restaurant (QSR) industry.

LIFELENZ ML Engineers have a passion for understanding the modeling needs that solve real customer problems and devising innovative solutions to deploy, monitor,and iteratively improve modeling solutions at scale.

Key responsibilities

The LIFELENZ Data Science team is looking for a candidate with strong analytical and data skills to join the team. The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions.

• Build and test machine learning models to support the LIFELENZ platform
• Design, build, and deploy data and machine learning pipelines on AWS
• Enable an iterative lifecycle for data products to continuously improve, integrate and deploy
• Bring data science workflows, analysis, and modeling into a healthy state of standardization, evaluation, deployment and observability in production.
• Build observability and monitoring of ML models & experiments
• Work collaboratively across teams to ensure a holistic MLOps process connecting modeling with engineering standards
• Embrace a dynamic startup environment

Knowledge, Experience, Qualifications

Required Qualifications

Preferred Qualifications

And to be successful in LIFELENZ you would have to :

Why LIFELENZ

We are a ground-breaking platform with a unique vision (we can’t give away our secrets here!). We have office locations in Chicago, Washington D.C, Adelaide, and London.

We are truly seeking to revolutionize the way our clients operate and enhance the employer / employee relationship. Our passion and excitement are genuine. We also offer great benefits (flexible time off, benefit plans, 401k, holidays, etc.), employee stock options and have surrounded ourselves with incredible talent across the globe.

Join our team today!

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