The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Who We Are
Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.

Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI.

Our 2000+ employees operate in 27 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal and Sanofi.

What You Will Be Doing:

As a Data Scientist, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include:

• Leading Transformational Projects: Spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
• Developing Data Science Solutions: Creating innovative data science products and solutions for both clients and our internal data science team.
• Building Client Relationships: Collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships.
• Upskilling the Team: Contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments.
• Ensuring Quality Deliverables: Caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members.
• Optimising Code: Writing highly optimized code to advance Artefact’s internal toolbox and knowledge base.

What You Will Learn With Us:

• Real-World Impact: Deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries.
• Collaborative Solutions: Work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions.
• Software Engineering Improvement: Enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams.
• Expertise Development: Become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence.
• Algorithm Discovery: Discover state-of-the-art algorithms and test them on real-world data during client projects.

What We Are Looking For:

We’re seeking someone who has:

• Educational Background: A completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects).
• Hands-On Experience:  1-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
• Technical Skills: Strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R.
• Analytical Mindset: A passion for working with data to derive actionable insights and solve complex problems.
• Communication Skills: Excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
• Curiosity and Passion: A genuine interest in continuous learning and exploring new technologies and tools in data and AI.

Why You Should Join Us:

• Learning and Development: Join a team of passionate Data Scientists and Engineers who will support your growth and provide ample learning opportunities.
• Culture of Celebration: We pride ourselves on creating a collaborative and fun work environment with regular team events and activities.
• Competitive Rewards: Enjoy a comprehensive benefits package, including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.
• Work-Life Balance: We offer flexibility with a hybrid working environment that lets you balance personal and professional commitments.
• Fuel Your Day: Enjoy a healthy and delicious daily lunch from our extensive organic buffet.
• Weekly Unwind: Take advantage of our weekly massage sessions to de-stress and relax.
• Centrally Located: Our office is conveniently situated near the station for easy commuting.
• Career Growth Opportunities: We’re committed to your professional development, offering continuous learning and internal promotion opportunities.

Join Us Now and Be Part of the Future:

Artefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.
Come join us!