Jobs & Studentships


Lead Speech Recognition Engineer

    Closing date: 31 Oct 2017


    Speechmatics

    Lead Speech Recognition Engineer Cambridge The Opportunity We are looking for a talented speech 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 working on our core ASR capabilities to improve our speed and accuracy and develop novel features so that we can support all languages. Your work will feed into ‘Auto-Auto’, our ground-breaking framework to support the building of ASR models, and hence the delivery of every language pack published by the company. You will be responsible for keeping our system the most accurate and useful commercial speech recognition available. 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 rapidly moving research developments into products. 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. Key Responsibilities • Ensuring that our speech recognition meets or exceeds that published by others • Improving our core modelling (acoustic, pronunciation, language) • Leading the extension of our ML framework so that we can build any language www.speechmatics.com Experience Essential • MSc, PhD or equivalent experience in the academic aspects of speech recognition • Several years practical experience in speech recognition, covering all aspects (acoustic, pronunciation and language modelling as well as decoders/search) • Experience working with standard speech and ML toolkits, e.g. Kaldi, KenLM, TensorFlow, etc. • Solid programming skills with Python and / or C/C++ • Experience using Unix/Linux for big data Desirable • PhD degree • Experience of team leadership and line management • Experience of working in an Agile framework • 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. • Deep expertise in Python and/or C++ software development • 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.

    Further information:

      EMail: careers@speechmatics.com

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Senior Speech Recognition Engineers

    Closing date: 31 Oct 2017


    Speechmatics

    Senior Speech Recognition Engineer Cambrdge 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 Auto-Auto, our ground-breaking framework to support the building of ASR models, and hence the delivery of every language pack published by the company. 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. www.speechmatics.com • 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.

    Further information:

      EMail: careers@speechmatics.com

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Speech Recognition Engineer

    Closing date: 31 Oct 2017


    Speechmatics

    Speech Recognition Engineer Cambridge The Opportunity We are looking for a talented engineer 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 the Automatic Linguist, 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 packs on time. • Cracking the challenges of an ever-growing portfolio of languages (e.g. think tones, synthetic languages with rich morphology or agglutination, under resourced languages, etc.) with pragmatism and flexibility in mind. • Participating in the software development cycle of the Automatic Linguist. • 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. www.speechmatics.com Experience Essential • Graduate degree in statistics, engineering, mathematics, or computer science. • Experience in 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. • Experience using Python. • Experience using Unix or 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, TensorFlow etc. • Expertise in Python and / or C++. • Experience working effectively with software engineering teams or as a Software Engineer. • Experience working in an Agile / Scrum style framework. • Knowledge of computational linguistics. 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 drinks fridge, Cyclescheme, fruit boxes and many more. The overall package will depend on your motivations and level of experience.

    Further information:

      EMail: careers@speechmatics.com

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Jobs/Studentships

Lead Speech Recognition Engineer

    Speechmatics
    Closing date 31 Oct 2017

Senior Speech Recognition Engineers

    Speechmatics
    Closing date 31 Oct 2017

Speech Recognition Engineer

    Speechmatics
    Closing date 31 Oct 2017