Splice
Senior Machine Learning Engineer for generative audio/music applications, collaborating on cutting-edge model architectures and integrating ML into products.
Sagana
Lead impact investing consulting projects, manage teams, and drive business development for Sagana Consulting. Oversee multiple high-impact projects, strengthen client relationships, and contribute to Sagana's mission of creating abundance through impactful investments.
Whatnot
Senior Frontend Engineer - Growth at Whatnot: Expand new user funnel, build incentivized buyer growth strategy, drive top-line metrics
Phantom
Full-stack engineer at Phantom developing APIs and user interfaces for a self-custodial wallet with a focus on security, innovation, and user experience.
Buynomics
Senior Full Stack Software Engineer for SaaS platform with ReactJS, TypeScript, NodeJS, and NestJS expertise
Orum
Senior Full Stack Software Engineer at Orum - $165k-$190k/year
Orum
Senior Full Stack Software Engineer at Orum: drive impactful user experiences with real-time high-volume processes
CaptivateIQ
Senior Fullstack Software Engineer at CaptivateIQ - design & build data platform functionality
Welocalize
Senior Fullstack Software Engineer for global software development team, developing back-end solutions with NodeJS and front-end solutions with VueJS or React.
Kueski
Join Kueski as a Senior Fullstack Software Engineer and contribute to innovative financial services, with flexible remote work options and equity in a fast-growing company.
Aleph
Join Aleph as an AI-focused Software Engineer to integrate cutting-edge AI technologies into our FP&A platform, working with LLMs and generative models to drive innovation in financial planning tools.
LI.FI
Senior Backend Engineer at LI.FI: Design & develop scalable backend systems, collaborate with cross-functional teams, and contribute to a fairer, more decentralized world.
AffiniPay
Design and implement scalable web applications using modern frameworks; collaborate with product teams to modernize MyCase for better user experience and efficiency.
neptune.ai
Senior Frontend Software Engineer at Neptune: Build scalable web applications with TypeScript & React
Entefy
Build cutting-edge web apps with Entefy, leveraging ReactJS, HTML5, CSS3, and JavaScript.
CaptivateIQ
Senior Software Engineer - Frontend at CaptivateIQ: Develop reusable components & design system, work across teams for seamless integration, and ensure high engineering standards.
CloudWalk
Join CloudWalk, a fintech pioneer using AI to transform payments, and collaborate with a diverse team to build innovative solutions.
CloudWalk
Lead front-end development at CloudWalk, mentoring teams and implementing modern tools like React.js and Next.js while leveraging AI-powered tools for enhanced productivity.
Horizons
Senior Front-End Engineer at Horizons: Improve user experience, modularize code, and lead the redesign of Horizons main front-end application.
Rackspace
Senior Data Engineer - Collaborate on data pipeline architecture, build analytics tools for actionable insights, and optimize data delivery using Spark, SQL, and Azure/AWS.
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.
