MACHINE LEARNING ENGINEER

Genusjob; Time; Remote; NOK 588,000 - 855,000; Full time

Benefits offered by this job

Remote-first culture

International health insurance

Company-paid retreats

31 days of vacation

12 paid sick days

4 creative days

12 parental days

Parental leave: 100% paid

Parenting budget: $1000

Joy Budget: $1000 per year

MacBook and tools

Job summary

Genusjob is seeking a Machine Learning Engineer to build the intelligence layer behind our products. You will transform behavioral data from thousands of businesses into accurate predictions and actionable insights, shipping models that customers can rely on.

You will work across the ML stack from feature engineering to LLM fine-tuning, with autonomy in a remote, async team. Strong ownership and clear communication are essential, with CET overlap.

Qualifications

• 3+ years of experience building and shipping ML models in production
• Strong applied ML fundamentals: feature engineering, calibration, leakage avoidance, and honest evaluation
• Hands-on LLM fine-tuning experience (supervised fine-tuning at minimum)
• Fluency in Python and the modern ML stack (scikit-learn, gradient boosting, pandas/Polars, PyTorch)
• Comfort writing performant SQL over large datasets and working with event/columnar stores and relational databases
• Experience designing training and inference pipelines and the orchestration around them
• A strong sense of ownership and the ability to work autonomously in a remote, async team
• Clear written communication
• At least 4 hours overlap required with CET time zone

Responsibilities

• Build ML models and ship them to customers
• Own end-to-end ML pipelines from data engineering to deployment
• Develop and refine features for predictive modeling
• Fine-tune LLMs on proprietary data
• Collaborate with remote cross-functional teams
• Communicate clearly and asynchronously with stakeholders

Skills

Python

ML fundamentals

LLM fine-tuning

SQL

Tools

scikit-learn

gradient boosting

pandas/Polars

PyTorch

Job description

Role Description

We're looking for a Machine Learning Engineer to help us build the intelligence layer behind our products - turning the behavioral data of over a million businesses into predictions and actions that help our customers reach the right people, at the right time, on the right channel, without needing a full marketing team. You'll work across the full ML spectrum: classical predictive models on large-scale behavioral data and applied LLM work, including fine-tuning models on our own data to power a goal-driven assistant.

You'll build ML that actually ships to customers

You'll grow, develop and evolve

You'll take ownership

You'll have experts at hand

You'll have experts at hand

You'll have stability

Qualifications & Requirements

3+ years of experience building and shipping ML models in production (not just prototypes)

Strong applied ML fundamentals: feature engineering, calibration, leakage avoidance, and honest evaluation - especially on imbalanced and time-series problems

Hands-on LLM fine-tuning experience (supervised fine-tuning at minimum)

Fluency in Python and the modern ML stack (e.g. scikit-learn, gradient boosting, pandas/Polars, PyTorch)

Comfort writing performant SQL over large datasets and working with event/columnar stores and relational databases

Experience designing training and inference pipelines and the orchestration around them

A strong sense of ownership and the ability to work autonomously in a remote, async team

Clear written communication

At least 4 hours overlap required with CET time zone

Benefits & Offer

Yearly gross salary range: €55,000-€80,000

Remote-first culture: Our team works remotely from around the world

International health insurance: Provided with coverage in most countries, with a monthly payout available in select countries where coverage is limited

Company-paid retreats: Once a year, we gather for a week in a beautiful location to work, learn, and have fun together

31 days of vacation (including public holidays): We encourage you to unplug and recharge!

12 paid sick days: For your physical and mental well-being, no doctor's note required. Parents can use them to care for your sick children

4 creative days: One paid day off per quarter to do something creative and fun

12 parental days: Enjoy one paid day off each month to treasure time with your children

Parental leave: 100% paid leave when welcoming a new child through birth (3 months maternity, 1 month paternity) or adoption

Parenting budget of $1000: A $1000 special gift to celebrate the arrival of your little one, whether through childbirth or adoption

Joy Budget: Annual allowance to spend on what brings you joy, starting at $1,000 per year and increasing over time

MacBook and other tools: That help you to do your job efficiently