Senior ML Engineer

Stockholm, SverigeData ScienceCTO Office
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Open positions Senior ML Engineer

Hej, Truecaller is calling you from Stockholm, Sweden! Ready to pick up?

Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter.

  • Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month.
  • Founded in 2009 with an impressive year-on-year growth with high profitability, listed on Nasdaq OMX Stockholm, Large Cap.
  • Founded in 2009, listed on Nasdaq OMX Stockholm and is categorised as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins.
  • A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions.

We, at the Data Science and Analytics Products team, build centralised data products that serve the business and our customers. We collaborate across all of Truecaller, delivering products that require centralised ownership or where the competence to build the products is not present in the wider product organisation.

As a Senior ML Engineer, you will be working hands-on to optimise 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 stay at the cutting edge of ML training and deployment, as well as explore new frontiers such as federated learning.

The impact you will create:

  • 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 throughout Truecaller, enabling them to put models into 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.
  • Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller.

What you bring in:

  • 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
  • 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.

 

It would be great if you also have:

  • Hands-on experience developing ML models.

Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/

Sounds like your dream job?

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.

This position is based in Stockholm, Sweden.

We only accept applications in English.

What we offer:

  • A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
  • A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
  • Great tech tools: Pick the computer and phone you most fancy within our budget ranges.
  • Office life: We strongly believe in in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, and a wide range of yummy snacks and beverages. In addition, now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, Running team, movie nights in our cinema, or a Geek lunch. There is something for everyone!

Come as you are:

Truecaller is diverse, equal, and inclusive. We need a variety of backgrounds, perspectives, beliefs, and experiences to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.

Apply now

Job info

Location
Stockholm, Sverige
Category
Data Science
Team
CTO Office
Posted
9 days ago

Recruitment process

Step 1
Recruiter interview
Once your application is received, our recruiter will reach out if there is a good match. You may receive the interview invitation from us within 2 weeks after applying.
Step 2
Assignment
After the recruiter interview, you will receive an assignment from us. You may have 4-5 days to finish this and the assignment usually takes 2-4 hours to complete.
Step 3
Team Interview
After the assignment stage, you will have a video/onsite interview with our team.
Step 4
Hiring Manager Interview
After the team interviews, the final step includes interviews with 2 hiring managers via either a video or onsite interview.