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Senior ML Engineer

Sweden

Pay
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Unconfirmed
Employment
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Apply at Truecaller

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.

Tools in this posting

  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- Understanding of both Android and iOS development and how that impacts ML model deployment and usage. - Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms. - Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines.
- 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 What we offer:
It would be good if you have - 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

Benefits in the posting

Full benefits wording
  • 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.
  • Check out Life at Truecaller - Behind the code:
  • We only accept applications in English.

From the employer’s posting.

Job description

View original posting ↗

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 500 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 400+ 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.
  • Strong understanding and experience optimising feature engineering, model training, and model deployment.
  • Understanding of both Android and iOS development and how that impacts ML model deployment and usage.
  • Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms.
  • 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.

It would be good if you have

  • 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

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. 

Check out Life at Truecaller - Behind the code:  

https://www.instagram.com/lifeattruecaller/

Sounds like a great opportunity?

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Sweden

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Status in our records
Active
First seen by us
Jul 2, 2026
Recorded sightings
32
Last seen by us
Oct 7, 2026

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