Jobs & Studentships
Closing date: 12 May 2017
THE OPPORTUNITY Soapbox Labs is seeking an experienced engineer with a strong background in speech recognition and signal processing. You are a creative and motivated individual with a keen interest in growing in an exciting start-up environment. You will be part of a team that delivers complex, scalable software solutions for applications based on children’s speech recognition. RESPONSIBILITIES You will be responsible for design, development, test, and deployment of speech models. With other members of the team, you will push the frontiers speech recognition research in order to develop advanced solutions. You will also be responsible for communicating with the developer team, anticipating bottlenecks and mitigating project risks. REQUIREMENTS - PhD in Speech Technology, Computational Linguistics or related area; or a relevant Master with good experience in conducting speech recognition based research - Demonstrable experience using ASR software, specifically Kaldi - Comfortable with the command line and experience with bash, python, or similar - Experience working with speech data, feature extraction, signal processing etc. - Experience working effectively with software engineering teams - Positive team player attitude with strong verbal and written communication skills DESIRABLES - Experience implementing deep neural networks and other machine learning techniques - Experience delivering on large-scale speech technology projects - Published in peer reviewed journals - A second language is a plus WHAT WE OFFER - Successful applicants can expect to enjoy - A competitive remuneration package (with the potential to earn stock options) - Flexible working environment - Our office is right over a great cafe and yoga studio! - The chance to get in at the ground floor of this high potential start-up We are keen to interact with talented people and will get back to the selected candidates quickly. We are an equal opportunity employer and value diversity at our company. Apply directly to the hiring manager firstname.lastname@example.org. Please attach your CV and a cover letter explaining why you are the right person for us! You should include a list of publications (if relevant), and some details about the models/technologies you have used. Must be willing to relocate to Ireland within a reasonable time period if applying from abroad.
Web: Job Particulars
Closing date: 30 Jun 2017
BACKGROUND Speechmatics is a leader in automatic speech recognition (ASR). Using proprietary technology, we have built one of the most accurate ASR systems in the world, with a vision to power a voice-enabled economy. We are already working in the world at a time when the global economy is actively adopting all types of speech-related technologies. In developing our technology we combine our years of experience, the latest developments in the field and our own focus on cutting-edge research to produce a world-class service. In the office, we pride ourselves on a relaxed but productive environment whilst we stay in touch with the field by attending both academic and commercial conferences and have fun together with regular team events (in the past we have been punting, go-karting, attended a cooking workshop and played bubble football...). We are expanding rapidly and are seeking more people in the coming months to help us keep pushing the boundaries of speech recognition. This is an opportunity to join a high growth team and form a major part of its future direction. The Opportunity We are looking for a talented scientist to help us build the best speech technology for anybody, anywhere, in any language. You will be a part of a team that is responsible for the delivery of every language pack published by the company, and for Auto-Auto, our ground-breaking framework to support the building of ASR models. This will involve maintaining and improving our pipeline, keeping our speech recognition at the head of the field and solving the challenges of a growing language portfolio. Because you will be joining a small team, you will need to be a team player who thrives in a fast paced environment, with a focus on product delivery. Bringing skills to the team is as important as a can-do attitude. We strongly encourage versatility and knowledge transfer within the team, so we can share efficiently what needs to be done to meet our commitments to the rest of the company. Our work typically relies on very large quantities of data, state-of-the-art methods (and our secret ingredients). Auto-Auto and the languages we are covering is core to our business. You should therefore be passionate about building products that will be used in businesses and homes worldwide. KEY RESPONSIBILITIES * Delivering high quality language models on time. * Cracking the challenges of an ever-growing portfolio (e.g. think tones, synthetics languages with rich morphology or agglutination, under resourced languages, etc.) with pragmatism and flexibility in mind. * Participating in the software development cycle of Auto-Auto. * Keeping an eye on the field and technological advances to stay ahead of the game. * Helping with the never ending problem of data acquisition: we always need more. EXPERIENCE Essential * Graduate degree in statistics, engineering, mathematics, or computer science. * Expertise in key natural language processing technologies, such as speech recognition, text to speech or natural language understanding. * Experience working with standard NLP toolkits, e.g. Kaldi, KenLM, etc. * Solid programming skills with at least one scripting language (e.g. Python, Perl, Ruby, etc). * Experience using Unix/Linux. * Analytical mind-set with a data-driven approach to making decisions and real attention to detail. * Experience of working within a team. Desirable * PhD degree. * Demonstrable commercial work experience in a directly related field. * Expertise in modern speech recognition, including WFSTs, lattice processing, neural net (RNN / DNN / LSTM), acoustic and language models, Viterbi decoding. * Comprehensive knowledge of machine learning and statistical modelling. * Experience in deep machine learning and related toolkits, e.g. Theano, Torch, etc. * Expertise in Python and/or C++. * Experience working effectively with software engineering teams or as a Software Engineer. SALARY We offer a competitive salary, bonus scheme, pension contribution matching (up to 5%) and a generous EMI share option scheme. We also have several additional benefits including holiday purchase, massages, fully stocked beer fridge, Cyclescheme, fruit boxes and many more. The overall package will depend on your motivations and level of experience.