Splice
Senior Machine Learning Engineer for generative audio/music applications, collaborating on cutting-edge model architectures and integrating ML into products.
Lumenalta
Lumenalta seeks a seasoned DevOps engineer with AWS expertise to design, implement, and optimize cloud solutions on AWS.
Rackspace
Senior Cloud Engineer (AWS) - Design, automate, deploy services on AWS using DevOps techniques and infrastructure-as-code tools.
reserv
Full stack engineer at insurtech company Reserv, shaping future of technology and platform with AI and automation
Kueski
Design and build high-quality backend systems at Kueski, the leading BNPL platform in Latin America. Collaborate with teams, write efficient code, monitor infrastructure, and contribute to best practices.
JumpCloud
Senior Software Engineer at JumpCloud: Collaborate on feature discovery, device management, and product development with a talented team.
Circle
Job with salary range
Spotify
Develop scalable backend systems and data pipelines for Spotify's advertising platform using Java and cloud services.
Lumenalta
Join Lumenalta as a developer to build impactful software solutions
Mercury
Join Mercury's invoicing team as a Senior Frontend Engineer and create lovable products for startups. Competitive salary and equity range, plus flexible remote work options.
Grafana Labs
Senior Backend Software Engineer for Grafana Cloud Databases team
Grafana Labs
Senior Backend Software Engineer - Databases: Remote opportunity in Canada
Nearform
DevOps Engineer for cloud-based applications, deployment architectures, and monitoring systems at NearForm, a digital and AI engineering consultancy.
Nearform
Senior DevOps Engineer for cloud-based applications/platforms with expertise in GCP & Azure, containers, infrastructure as code, CI/CD pipelines, and observability practices.
StackAdapt
Develop full-stack solutions for StackAdapt's developer ecosystem using modern tech stacks like Ruby on Rails, React, GraphQL, and GoLang. Collaborate with teams to build scalable, well-documented software and contribute to technical planning.
CareMessage
Senior Software Engineer for Integrations team at CareMessage, developing healthcare integrations leveraging FHIR and HL7 standards.
Deputy
Lead Deputy's regional marketing efforts by developing strategies that generate leads and build brand awareness through events, campaigns, and partnerships. Collaborate with internal teams and external vendors to execute successful initiatives and drive measurable outcomes.
Rocket Money
Machine Learning Engineer at Rocket Money, developing reusable ML pipelines and systems for personalized product experiences and accurate customer segmentation.
Binance
Senior QA Engineer at Binance: Develop high-quality products with a dynamic team, utilizing automation testing development skills and Agile methodologies.
Webflow
Senior Software Engineer at Webflow Labs: Create prototypes, drive technical initiatives, and thrive in a remote-first environment with flexible work options and access to mental wellness programs.
Splice
We are seeking a Senior Machine Learning Engineer to join our Splice AI & Audio Science team. As a key member of the team, you will design and optimize cutting-edge model architectures for generative audio/music applications, collaborate with other researchers and engineers, and contribute to integrating machine learning models into our products. You will have the opportunity to work on state-of-the-art deep learning techniques, explore new building blocks in generative models, and stay current with the latest advancements in machine learning applied to generative models in the audio domain. Our team is passionate, creative, and committed to using AI in a creator-centric, ethical, and responsible way. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, we offer a competitive compensation package of $165,000 - $206,000 per year. If you are a seasoned expert with a strong track record in designing, training, evaluating, and deploying machine learning models, we encourage you to apply now.
JOB TITLE: Senior Machine Learning Engineer
LOCATION: Remote / NY
TEAM INFORMATION:
The Splice AI & Audio Science team is dedicated to pushing the boundaries of artificial intelligence applied to audio data, with the mission to empower music creators everywhere. Being musicians ourselves, we are deeply committed to the use of AI in a creator-centric, ethical and responsible way. Our team consists of passionate and creative individuals who thrive in a collaborative, innovative, and fast-paced environment.
WHAT YOU WILL DO:
Design, adapt and optimize cutting-edge model architectures for generative audio/music applications, leveraging state-of-the-art deep learning techniques for audio/music synthesis.
Collaborate with other Applied Researchers and Machine Learning Engineers to design, train, fine-tune, and deploy scalable models to production.
Explore and implement core building blocks in generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures.
Contribute to integrating machine learning models into Splice’s products, delivering new and creative experiences for music creators.
Performance Benchmarking and Evaluation**:** design and run experiments to benchmark the accuracy, quality and performance of trained models.
Stay current with the latest advancements in machine learning applied to generative models in the audio domain, incorporating and sharing relevant insights into the applied research process.
Documentation and Knowledge Sharing**:** document experiments, best practices, and lessons learned to facilitate knowledge sharing and maintain reproducibility. Provide technical guidance and training to team members on model training, evaluation, deployment and optimization techniques.
JOB REQUIREMENTS:
Master's or PhD degree in Electrical Engineering, Computer Science or related Engineering discipline.
Proven ability and track record designing, training, evaluating and deploying machine learning models in production environments, powering real applications.
2+ years of hands-on experience with generative models architectures in the audio, image or language domains. Specific experience with Latent Diffusion Models and Transformer-based architectures is a must.
Proficiency in Python, C/C++, or CUDA. Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
Hands-on experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Comfortable with software development best practices and version control systems (e.g., Git).
NICE TO HAVES:
Familiarity with audio signal processing, music information retrieval (MIR), or audio synthesis techniques is a strong plus.
Background or knowledge in music production.
The national pay range for this role is $165,000 - $206,000. Individual compensation will be commensurate with the candidate's experience.
