This job post is closed and the position is probably filled. Please do not apply. Work for AssemblyAI and want to re-open this job? Use the edit link in the email when you posted the job!
AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
Our ASR models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)!
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
Join our world-class, remote team and help us build an iconic deep learning company!
Our Team
Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon. They conduct cutting edge deep learning research and develop novel algorithms & techniques to continually push the state of the art in speech recognition & NLP!
Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.
As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.
The Role
We're looking for a senior backend engineer with strong software and cloud engineering skills. You'll help us build highly scalable developer-centric APIs and backend systems powered by state-of-the-art ML models. Some of your responsibilities will include:
Build new API features and endpoints
Build automated test suites and CI/CD pipelines
Build highly scalable event-driven and realtime systems
Instrument systems with metrics, tracing, and logging
Refactor applications to eliminate tech debt
Troubleshoot production issues
You'll love this job if you....
Enjoy solving complex technical problems, even when there is no perfect solution.
Enjoy being in a fast-paced, customer-facing role.
Thrive in small, cross-functional teams. We like to wear many hats here!
You're excited to tackle big technical challenges like building highly scalable architectures and achieving zero-downtime deploys.
Requirements
5+ years of professional experience building backend applications using any popular language such as Python, Java, C#, JavaScript, Go, C/C++
4+ years of experience working with Python
4+ working with Python backend frameworks like Django, Flask, or Tornado
4+ years of working with SQL and NoSQL databases
3+ years working with common AWS services
3+ years developing REST APIs
3+ years of production support experience
Experience migrating systems to meet increasing traffic/scale
Startup or FAANG-type experience - Has worked at a startup or high growth company
Deep AWS knowledge - Has many years of experience solutioning within AWS
Strong Python coding abilities - Can pass difficult programming challenges in a relatively short period of time. Can speak clearly about their thinking throughout these challenges. Can speak to O-notation of algorithms. Has excellent knowledge of common python idioms and libraries.
High scalability experience - Has been a tech leader on scaling systems to hundreds of millions of requests/events per day. Has experience with hyper-observability, scaling algorithms, and using production data to drive system changes
Skills
Amazing system design chops - When given a hard problem to solve with a new system, they can quickly shape an effective design and communicate its strengths, weaknesses, and tradeoffs.
High-octane thinking - Engages deeply on subjects of expertise. Thinks ahead many steps and can see where decisions are likely to lead. Their brains compute at a very high level.
Extremely creative - Can find both novel and effective solutions within highly constrained time and resources
Fast learner - Has shown they can ramp up on difficult topics very fast
Exceptional gut instincts - Can practically feel when something is right or wrong. Can use these instincts to quickly point themselves in the right direction.
Opinionated - They have convictions in what they believe and can communicate their position clearly without drama.
Nice to Have
Machine learning experience - Has worked with machine learning models at scale
Experience integrating and deploying ML models into production
Benefits (US)
Competitive Salary + Bonus
Equity
401k
100% Remote team
Unlimited PTO
Premium Healthcare (100% Covered for you + dependents)
Vision & Dental Care
$1K budget for your home office setup
New Macbook Pro (or PC if you prefer)
2x/year company paid team retreat
Please mention the word TEMPTINGLY when applying to show you read the job post completely (#RMy4xNDkuMjUwLjI0). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$120,000 — $200,000/year
Benefits
💰 401(k)
🌎 Distributed team
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Unlimited vacation
🏖 Paid time off
💰 401k matching
🏔 Company retreats
🏬 Coworking budget
🖥 Home office budget
💰 Equity compensation
👀 No monitoring system
🚫 No politics at work
🎅 We hire old (and young)
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AssemblyAI and want to re-open this job? Use the edit link in the email when you posted the job!
AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
Our ASR models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)!
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
Join our world-class, remote team and help us build an iconic deep learning company!
Our Team
Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon. They conduct cutting edge deep learning research and develop novel algorithms & techniques to continually push the state of the art in speech recognition & NLP!
Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.
As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.
The Role
We're looking for a senior backend engineer with strong software and cloud engineering skills. You'll help us build highly scalable developer-centric APIs and backend systems powered by state-of-the-art ML models. Some of your responsibilities will include:
Build new API features and endpoints
Build automated test suites and CI/CD pipelines
Build highly scalable event-driven and realtime systems
Instrument systems with metrics, tracing, and logging
Refactor applications to eliminate tech debt
Troubleshoot production issues
You'll love this job if you....
Enjoy solving complex technical problems, even when there is no perfect solution.
Enjoy being in a fast-paced, customer-facing role.
Thrive in small, cross-functional teams. We like to wear many hats here!
You're excited to tackle big technical challenges like building highly scalable architectures and achieving zero-downtime deploys.
Requirements
6+ years of professional experience building backend applications using any popular language such as Python, Java, C#, JavaScript, Go, C/C++
4+ years of experience working with Python
4+ working with Python backend frameworks like Django, Flask, or Tornado
3+ years of working with SQL and NoSQL databases
3+ years of production support experience
3+ years working with common AWS services
2+ years developing REST APIs
Experience migrating systems to meet increasing traffic/scale
Startup or FAANG-type experience - Has worked at a startup or high growth company
Deep AWS knowledge - Has many years of experience solutioning within AWS
Strong Python coding abilities - Can pass difficult programming challenges in a relatively short period of time. Can speak clearly about their thinking throughout these challenges. Can speak to O-notation of algorithms. Has excellent knowledge of common python idioms and libraries.
High scalability experience - Has been a tech leader on scaling systems to hundreds of millions of requests/events per day. Has experience with hyper-observability, scaling algorithms, and using production data to drive system changes
Skills
Amazing system design chops - When given a hard problem to solve with a new system, they can quickly shape an effective design and communicate its strengths, weaknesses, and tradeoffs.
High-octane thinking - Engages deeply on subjects of expertise. Thinks ahead many steps and can see where decisions are likely to lead. Their brains compute at a very high level.
Extremely creative - Can find both novel and effective solutions within highly constrained time and resources
Fast learner - Has shown they can ramp up on difficult topics very fast
Exceptional gut instincts - Can practically feel when something is right or wrong. Can use these instincts to quickly point themselves in the right direction.
Opinionated - They have convictions in what they believe and can communicate their position clearly without drama.
Nice to Have
Machine learning experience - Has worked with machine learning models at scale
Experience integrating and deploying ML models into production
Benefits (US)
Competitive Salary + Bonus
Equity
100% Remote team
Unlimited PTO
401K
Premium Healthcare (100% Covered for you + dependents)
Vision & Dental Care
$1K budget for your home office setup
New Macbook Pro (or PC if you prefer)
3-4x/year company paid team retreat
Please mention the word COMPASSIONATE when applying to show you read the job post completely (#RMy4xNDkuMjUwLjI0). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$120,000 — $200,000/year
Benefits
💰 401(k)
🌎 Distributed team
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Unlimited vacation
🏔 Company retreats
🏬 Coworking budget
🖥 Home office budget
💰 Equity compensation
🚫 No politics at work
🎅 We hire old (and young)
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Spreaker and want to re-open this job? Use the edit link in the email when you posted the job!
What is this job position about?
The podcast revolution needs smart, innovative problem solvers who are quick on their feet. Do you want to help content creators and advertisers get heard amongst the vast ocean of the podcasting world? We connect these two worlds, enabling them to benefit from one another.
Our global podcast hosting network delivers more than 300 million listens per month across four continents, enabling more than 50 thousand podcast producers to get heard and create successful podcasts.
We’re looking for a talented and passionate engineer to work on our platform and products. You’ll work with our team of engineers to build, improve and maintain our global-scale podcast hosting, delivery and monetization platform.
You will learn how to build and operate a distributed system composed of large and micro services. You will continuously learn new technologies and keep up with the fast-pace of our industry, making sure that you never feel like you’re stuck on old and boring projects.
You’ll be asked to organize your time, plan your work and be a team player. We expect you to take ownership of the systems you build, and that means:
You’re responsible for the operational health of your services. The work is not done just because the code is merged to master.
You’re empowered and encouraged to fix operational issues and make sure the technology powering our platform and products evolves as the industry moves forward.
What boxes do you need to tick to apply for this position?
These are the essentials:
You are fluent in English (both verbal and written)
You live in a European time zone (CET-2/CET+2)
You have proven, long-term experience in operating web platforms and infrastructure running on AWS
You are familiar with docker containers, their management and lifecycle
You are familiar with distributed systems observability
You are familiar with Infrastructure as Code (IaC)
This is what will get you some bonus points:
You are familiar with PostgreSQL, DynamoDB, Redis
You are familiar with Kubernetes
You are familiar with Terraform
You are familiar with Jenkins
You are familiar with Prometheus
You are familiar with ELK
What do we offer?
This is the package we offer to everyone working at Spreaker:
Contract: a traditional employment contract if your country of residence is Italy (where Spreaker has a local branch office), or an open-ended consulting agreement if you live in another European country. In both cases, you get the exact same benefits described below.
Laptop: a powerful M1 Macbook Pro to never feel you're wasting your time waiting for your computer to do what you need.
Work-From-Home budget: an initial €1000 to buy everything you need to work from home, followed by a €250 yearly budget for further upgrades.
Training budget: in addition to the internal training activities the company provides, you get €1200 on a yearly basis to spend to improve your skills. This budget can be used for example to buy conference tickets, books, attend workshops, or even pay for English lessons.
Paid time off: in addition a company-chosen 2 weeks to cover for traditional holidays, each year you also get 6 additional weeks to use however you like. We encourage everyone to use them in full and enjoy their time off to recharge their batteries.
Flexible hours: while we look for a significant overlap in working hours to maximize team collaboration, there's no fixed "working hours" at Spreaker. Whether you need walk the dog, go to the post office or simply enjoy spending an extra hour in bed in the morning, we've got you covered.
Bonus policy: a yearly bonus based on company performance, adding up to an extra 10% of the yearly compensation if the expected company growth is met or exceeded.
Please mention the word INTERESTS when applying to show you read the job post completely (#RMy4xNDkuMjUwLjI0). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$50,000 — $70,000/year
Location
Europe
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Basket and want to re-open this job? Use the edit link in the email when you posted the job!
About
We’re Basket (trybasket.com) – a fresh and exciting new approach to create, share and follow wishlists for the products and services you love. Basket keeps your content organised, up to date, and helps you make better buying decisions across all shopping categories.
To continue our growth, we’re seeking a Backend Engineer who has experience and passion for ETL processes with a focus on data transformation pipelines, data storage in MongoDB, and data delivery via GraphQL APIs. To excel in this role and have a positive impact on our customer success, you’ll have strong experience with AWS infrastructure, serverless architecture, event-driven microservices and a test-driven mindset. You’ll need an ability to learn quickly, think big, and deliver rock-solid results in a fast-paced startup environment. This is an exciting opportunity to join our backend team as we seek to significantly expand our ETL process and support a wide range of interesting data sources.
To thrive at Basket, you’re someone who thinks big, who embraces change, and relishes a fast-paced engineering environment. Of course, on the team side, you’re someone who welcomes collaboration and feedback. You are proactive, continuously look for ways to grow yourself, help teammates, and opportunities to make the products you work on stronger. This is a chance to join an innovative team where you will be challenged, and have significant input to shape a product we believe will become a global household name.
What You'll Do
Write, improve and maintain serverless functions to accurately transform and load data into efficient and organised MongoDB storage
Develop and maintain 3rd party data clients to enrich stored data
Be highly organised and collaborate effectively with remote team members.
About You
The following are essential requirements for this role;
Fluent in English (writing and speaking).
Located within +/- 2hr of UK time (GMT+0)
Minimum 2 years full-time work experience as a backend engineer on production services
Advanced knowledge of Python, and pythonic code.
Experience with MongoDB
Intuitively look for ways to keep code modular, tested, and maintainable.
Keen to learn, share and step outside of your comfort zone to create ambitious solutions to e-commerce challenges.
A high level of energy and enthusiasm about being part of a small, progressive team.
Good To Have
These are good to have, but not essential for the role
Production experience with AWS services in a microservices context, such as Lambda, API Gateway, DynamoDB, S3, SQS, and EventBridge.
Track record of building serverless applications (Serverless Framework or SAM)
Track record with TDD approach to engineering.
Our Culture
Our culture is built on respect, collaboration and a drive to shake up the world of shopping. We’re at the beginning of our journey with opportunity for new team members to lead projects and shape services that customers interact with daily. Our team are conscientious, deep thinkers, always striving to be awesome human beings.
We are an equal opportunity employer and value a diversity of perspectives and backgrounds at our company. We are dedicated to a policy of nondiscrimination in employment on any basis including race, colour, age, sex, religion, disability, or national origin.
Please mention the word HALLOWED when applying to show you read the job post completely (#RMy4xNDkuMjUwLjI0). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$50,000 — $80,000/year
Location
Europe
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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