Senior ML Engineer

Truecaller; Sweden; On-site; SEK 662,325 - 883,100; Full time

Benefits offered by this job

30 days paid vacation

Private health insurance

Pension contributions

Support for learning and growth

Office-focused culture with collaborative facilities

Lab Days for innovation

Job summary

Truecaller in Sweden is looking for a Senior ML Engineer to enhance the efficiency of ML models, focusing on their deployment on mobile devices. You will collaborate closely with various teams, utilizing your 5+ years of machine learning engineering experience to develop best practices and drive innovation.

The position offers a comprehensive compensation package, including 30 days of vacation and private health insurance, all in a vibrant and inclusive office environment.

Qualifications

• 5+ years of experience in machine learning engineering, especially in production.
• Hands-on experience deploying ML models on mobile devices.
• Strong understanding of Android and iOS development as it relates to ML.

Responsibilities

• Optimize the training and deployment of ML models for mobile devices.
• Collaborate with teams to enable quick and efficient model deployment.
• Stay updated on trends in ML Engineering, particularly on mobile platforms.

Skills

Machine Learning Engineering

Feature Engineering

Model Deployment

Communication Skills

Collaboration Skills

Education

Degree in Computer Science or Equivalent

Tools

TensorFlow

PyTorch

ONNX

Job description

Join Truecaller – The place where innovation meets impact!

Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:

• We are trusted by over 450 million active users every month across 190+ countries
• We identify over 15 billion calls daily, helping users avoid spam and scams
• We are powered by a team of 450+ employees from 45+ nationalities

We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.

The role:

As a Senior ML Engineer, you will be working hands‑on to optimise the training and deployment of ML models to be quick and cost‑efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning.

What you will do

• Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs.
• Work with teams across Truecaller, enabling them to deploy models to production quickly and cost‑effectively.
• Work hands‑on with teams throughout Truecaller to optimise ML models for mobile devices.
• Be the go‑to expert for developing models for mobile devices as well as deploying them.
• Stay up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and drive continuous innovation throughout Truecaller.

What you bring in

• Degree in computer science or equivalent
• 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
• A strong understanding and experience to optimise feature engineering, model training, and model deployment.
• Hands‑on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile).
• Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms.
• Understanding of both Android and iOS development and how that impacts ML model deployment and usage.
• Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines.
• A customer‑focused mindset.
• Excellent communication skills in spoken and written English.

What we offer:

We support growth through learning resources, leadership programs, mentoring, and real hands‑on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:

• A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top‑up, pension, and wellness contributions.
• Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.
• A people‑focused office culture: We value in‑person collaboration and follow an office‑first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well‑stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There’s something for everyone.
• Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future.

Come as you are

Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.

We only accept applications in English.