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๐Ÿ’ฐ 401(k)
๐ŸŒŽ Distributed team
โฐ Async
๐Ÿค“ Vision insurance
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AssemblyAI


๐Ÿ‡ช๐Ÿ‡บ Europe
๐Ÿ’ƒ Latin America
๐ŸŒŽ North America
๐Ÿ’ฐ $120k - $200k

AssemblyAI

assemblyai.com

๐Ÿ‘€ 11,851 views

โœ… 165 applied (1%)

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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 Microsoftย - 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.

AssemblyAIโ€™s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, withย well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal.ย 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,ย 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.ย 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.ย 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 experienceย - Has worked at a startup or high growth company
  • Deep AWS knowledgeย - Has many years of experience solutioning within AWS
  • Strong Python coding abilitiesย - 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 experienceย - 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 chopsย - 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 thinkingย - 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 creativeย - Can find both novel and effective solutions within highly constrained time and resources
  • Fast learnerย - Has shown they can ramp up on difficult topics very fast
  • Exceptional gut instinctsย - Can practically feel when something is right or wrong. Can use these instincts to quickly point themselves in the right direction.
  • Opinionatedย - 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 (#RMjE2LjczLjIxNi41MQ==). 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

๐Ÿ’ฐ 401(k)

๐ŸŒŽ Distributed team

โฐ Async

๐Ÿค“ Vision insurance

๐Ÿฆท Dental insurance

๐Ÿš‘ Medical insurance

๐Ÿ– Unlimited vacation

๐Ÿ” Company retreats

๐Ÿฌ Coworking budget

๐Ÿ–ฅ Home office budget

๐Ÿ’ฐ Equity compensation

๐Ÿšซ No politics at work

๐ŸŽ… 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.
closed

Basket


๐Ÿ‡ช๐Ÿ‡บ Europe
๐Ÿ’ฐ $50k - $80k
โฐ Contractor

Etl

 

AWS

 

Python

Serverless

Machine Learning

Artificial Intelligence

Deep Learning

Neural Networks

English Teacher

Mongo

API

Content Writing

Excel

Ecommerce

Full Time

English

Mongo

Lead

Content

Engineering

E-Commerce

Full-Time

Basket

trybasket.com

๐Ÿ‘€ 7,907 views

โœ… 106 applied (1%)

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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

Weโ€™re Basket (trybasket.com) โ€“ 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, weโ€™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, youโ€™ll have strong experience with AWS infrastructure, serverless architecture, event-driven microservices and a test-driven mindset. Youโ€™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, youโ€™re someone who thinks big, who embraces change, and relishes a fast-paced engineering environment. Of course, on the team side, youโ€™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. Weโ€™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 (#RMjE2LjczLjIxNi41MQ==). 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.
closed

Cisco Meraki


๐ŸŒ Probably worldwide
๐Ÿ’ฐ $75k - $120k*

Machine Learning

 

Artificial Intelligence

 

Deep Learning

Neural Networks

Amazon

Cloud

Python

Lead

Analytics

System

Apache

Cisco Meraki

๐Ÿ‘€ 2,828 views

โœ… 124 applied (4%)

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This job post is closed and the position is probably filled. Please do not apply. Work for Cisco Meraki and want to re-open this job? Use the edit link in the email when you posted the job! ๐Ÿค– Closed by robot after apply link errored w/ code 404 3 years ago


\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Amazon, Cloud, Python, Apache and Backend jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
closed

Synergy Sports Technology


๐ŸŒ Probably worldwide
๐Ÿ’ฐ $70k - $118k*

C

 

C Plus Plus

 

NoSQL

Machine Learning

Artificial Intelligence

Deep Learning

Neural Networks

Senior

Video

C Sharp

Travel

Operational

Analytics

System

Engineering

Synergy Sports Technology

corp.synergysportstech.com/

๐Ÿ‘€ 3,645 views

โœ… 8 applied (0%)

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Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks a talented Software Engineer to join our team on a contracting basis.\n\nThis position offers a tremendous opportunity to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 college, professional, and international teams. Our systems are highly complex and contains petabytes of data and video requiring extremely talented engineers to maintain scale and efficiency of its products.\n\nAs a member of the Synergy team, its engineering team will contribute to the ongoing development of Synergyโ€™s revolutionary online sports data and video delivery solutions. Building applications such as:\n* Client Analytic Tools\n* Video Editing and Capture Tools\n* Data Logging Tools\n* Operational Game, Data and Video Pipeline Tools\n* Backend Data and Video Platforms\n\nSynergyโ€™s work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in conversational English. Synergy development staff work in a deadline-oriented, demanding, non-standard environment in which personal initiative and a strong work ethic are rewarded. Good communication skills, self-motivation, and the ability to work effectively with minimal supervision are crucial. Nonstandard working hours may be required, as Synergy operates on a 24x7 system for clients, with associated deadlines and requirements. Pay rate is dependent on experience.\n\n**Information for all Positions:**\n* All Positions will last for roughly a year with some engineers lasting even longer if they are talented, we will keep them for future projects.\n* Engineers should be available for phone calls M-F from 7am to 10am Pacific Time zone. There will usually be 1 or 2 phone calls each week that are 30 to 90 minutes each.\n* All other work hours availability is up to the engineer to work when it is a best fit and balance for them to communicate with their team and their personal commitments outside of work.\n* Working an average of 40 hours per week is expected except in rare or temporary circumstances. Each week can be flexible and up to the engineer as to when and how much they work per day. It is ok to work heavier and lighter weeks if desired based upon the engineerโ€™s preference of when and how to work. But a preference is to average 40 hours per week.\n* No travel is required\n\n**Team Objectives:**\n* A candidate joining the Data Platform team can expect to work on the following types of projects:\n* Creating internal and external APIs to support both data and video\n* Building complex data models supporting the business rules of sports\n* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure\n* Refactoring code to a .NET Core environment\n* Scaling out current systems to support new sports\n* Building build and test automation systems\n* Building complex reporting data structures for analytical systems\n\n**Required Skillsets:**\n* SQL or NoSQL database (MongoDB Preferred)\n* C# (Latest version with a preference to .NET Core) \n\nPlease mention the words **VAGUE MANGO SLENDER** when applying to show you read the job post completely (#RMjE2LjczLjIxNi41MQ==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to C, C Plus Plus, NoSQL, Machine Learning, Senior, Engineer, Backend, Executive, Video and Travel jobs that are similar:\n\n $70,000 — $117,500/year\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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