## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nPlease mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely (#RMTguOTcuOS4xNzU=). 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
$50,000 — $120,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nJust message and resume to [email protected].\n\nSend it along with your github account if you have one or a piece of code and if you want to stand out - answer one of the following questions.\n\n- What surprising thing have you learned in the last few months?\n- What is a project you're most proud of and why?\n- What is your favorite Data Science book or online resource?
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This job post is closed and the position is probably filled. Please do not apply. Work for Knock.com and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nOur homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, sell them quickly and guide the customer every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.\n\n\nWe’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.\n\n\nAt Knock, we have fun, we move fast, we support and celebrate our fellow teammates, and we live by our POPSICLE values.\n\n\nAs a Sr. Machine Learning Engineer you will: \n\n\n* Design and develop models that produce insights from residential real estate data.\n\n* Develop, train, test, deploy and iterate on modeling approaches and methodologies.\n\n* Evaluate, improve and iterate on the performance of existing ML models.\n\n* Explore and recommend new data to improve model outputs.\n\n* Apply and integrate model predictions to our new and existing products.\n\n* Communicate model outcomes to the broader team.\n\n\n\n\n\nWe’re looking for Knockstars who have: \n\n\n* Must be U.S. based.\n\n* MS or higher in Computer Science, Statistics, Mathematics or equivalent.\n\n* Experience applying existing or novel methodologies to improve existing machine learning models.\n\n* Minimum of 3 years of software development experience including coding, testing, troubleshooting, and deployment.\n\n* Minimum of 2 years experience with building production end-to-end machine learning models at scale.\n\n* Strong knowledge of machine learning frameworks.\n\n* Python programming proficiency.\n\n* SQL, MySQL or Postgres experience.\n\n* Strong desire to contribute to a rapidly growing startup and being comfortable with learning new tools and technologies.\n\n\n\n\n\nBonus points for knowledge of:\n\n\n* Real estate markets, MLS assessor/tax and parcel data.\n\n\n\n\n\nWhat we can offer you:\n\n\n* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.\n\n* Talented, passionate and mission-driven peers disrupting the status quo.\n\n* Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.\n\n* Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.\n\n* This is a 100% remote, full-time career at Knock.\n\n\n\n\n\nWe have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, Phoenix, and Denver with more on the way. In fact, we are proud to be a distributed company with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\n\nKnock is an Equal Opportunity Employer.\n\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n
$70,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Agile Resources and want to re-open this job? Use the edit link in the email when you posted the job!
\nOur client is a software shop in Atlanta which is building an innovative web, mobile and IOT platform for the entertainment industry. They are currently looking for software engineers with experience in Python-based Machine Learning and Artificial Intelligence using frameworks such as TensorFlow, PyTorch or Keras.\n\nThe focus of the Machine Learning (ML) Engineer will be to help create artificial intelligence products. ML Engineer responsibilities include creating machine learning models and retraining systems. Your goal will be to shape and build efficient self-learning applications.\n\nRequirements:\n\n\n* Proven experience as a ML Engineer or similar role\n\n* Understanding of data structures, data modeling and software architecture\n\n* Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)\n\n* Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems\n\n* Ability to write robust code in Python or Java or equivalent modern programming language\n\n* Proficiency in SQL, big data technologies and working with large data sets\n\n\n\n\nPluses:\n\n\n* BS in Computer Science, Mathematics or similar field; Master’s degree is a plus\n\n* Experience designing and building web scale distributed systems\n\n* Deep knowledge of math, probability, statistics and algorithms\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, Java, Python and Mobile jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Carfeine and want to re-open this job? Use the edit link in the email when you posted the job!
\nCarfeine is a technology company currently serving the automotive industry. We are looking for a Machine Learning Engineer with a strong background in Google Ads to build intelligent systems that help our customers to launch the most successful marketing campaigns. Our systems leverages diverse data sources to present marketing tips, and pricing allocations. We will be focused on personalization and developing a number of intelligent agents to be launched on a cross-channel platform.\n\nThere is a possibility of conversion to FTE but it is not required.\n\nResponsibilities:\n\n• Provide insights and test machine learning and deep learning frameworks for products under development\n• As an individual contributor provide production-ready code for integrations into overall artificial intelligence products\n• Reports to the CTO and has a strong collabaration with the Product Owner\n• Work in tandem with data scientist/data analyst to train and test algorithmic designs\n• Synthesize and summarize machine learning research papers and provide executive summary to CTO & SWE team\n\nPreferred Qualifications:\n• Masters or Ph.D. and advanced mathematics coursework\n• 7+ years’ software engineering, and/or research experience\n• Intimate knowledge of the Google Ad data object ecosystem and the Google Ads API\n• Proven track record of success in the form of publications, patents or execution of successful AI technologies\n• Ability to work as an individual contributor, independently and with minimal supervision\n• Ability to work in a team environment when needed, providing deliverables to other team members on time and to specifications\n• Exceptional understanding of machine learning, statistics, and deep learning frameworks\n• Individuals with advanced degrees or post-graduate licenses in data science, machine learning or deep learning preferred\n• Programming languages and technologies: Python, C#, Java, Javascript\n\nPreference given to individuals in the Austin, TX or Washington, DC areas, but not required.\n\nNDA required \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Ads, Machine Learning, Marketing and Engineer jobs that are similar:\n\n
$67,500 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 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.
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