This year has been welcoming to machine learning technology as companies are investing a lot into it. Machine learning engineering is one of the most sought-after job positions in the current scenario. Linkedin lists artificial intelligence practitioners in its Top 15 jobs in demand in the 2021 list, in which machine learning engineers and researchers are in high demand. Machine learning interns are also in demand. According to Economic Times, an Internshala report on major skills students desired to learn highlighted that machine learning and ethical learning were popular among students.
SoundHound is an audio and speech recognition company based in the United States. The company enables brands to develop customized voice assistants by leveraging Houndify, an independent voice AI platform. Launched in 2005, SoundHound has been efficiently developing voice AI solutions to enable a voice-first world. The company's products use speech recognition and voice AI technologies to enable humans to interact with machines as they do with other people.
SoundHound is currently looking for machine learning interns to join its core speech technology teams. The machine learning internship is paid and for a duration of 10 weeks. The position demands that the applicant is located in the United States during the period of internship.
SoundHound acknowledges that they will collect and process specific personal, educational, and professional information relating to the job applicants. The company promises to secure this data with utmost care to ensure that the data is not lost, misused, leaked, or accessed by any external entity.
The company has been actively providing voices to many brands through innovating and customizing conversational technologies and voice AI. Through this machine learning internship, SoundHound extends an opportunity to talented candidates seeking hands-on experience in machine learning engineering, natural language processing, and developing voice and speech recognition technology. Anybody interested and with the abovementioned skillset can apply to the position before it gets filled up.