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Experience Level
Senior
Qualifications
Design and implement DL pipelines on distributed computing platforms, enhancing the efficiency and speed of operations such as model training, data processing, and inference.
Work collaboratively with ML scientists and software engineers to ensure DL model development aligns with scientific objectives and operational requirements.
Continuously monitor and optimize DL model training pipelines for scalability and performance.
Stay informed on the latest trends in AI, ML, and related technologies, adapting new tools and frameworks as needed.
Develop and maintain robust, reproducible DL pipelines ensuring consistency and accuracy in results.
About the job
About This Role:
Join Freenome as a Senior Machine Learning Research Engineer on our Machine Learning Science (MLS) team, part of the Computational Science department. We are looking for a candidate with extensive experience in designing and developing deep learning (DL) pipelines and a proven track record in creating scalable and reliable artificial intelligence/machine learning (AI/ML) systems within cloud environments.
The MLS team at Freenome tackles the complexities of developing DL models using large-scale genomic data. As a Senior Machine Learning Research Engineer, your primary responsibility will be to establish and maintain the infrastructure necessary for the creation of these DL models. You will enable distributed DL pipelines, optimize hardware usage for efficient training, and implement model optimizations. Collaborating closely with interdisciplinary teams of machine learning scientists, computational biologists, and software engineers, you will play a key role in advancing state-of-the-art ML/AI models and furthering Freenome’s mission to reduce cancer mortality through accessible early detection.
This position reports to the Director of Machine Learning Science and can be hybrid, based in our Brisbane, California headquarters (2-3 days in the office), or fully remote.
About Freenome
Freenome is a biotechnology company at the forefront of cancer detection, leveraging advanced artificial intelligence and machine learning techniques to transform early cancer detection and improve patient outcomes. Our innovative approach aims to make cancer screening accessible and effective, ultimately reducing mortality rates. Join a dedicated team that is passionate about making a difference in the fight against cancer.
Join Databricks as a Senior Solutions Engineer, where you'll play a pivotal role in driving innovative data solutions. In this position, you will collaborate with clients to understand their unique challenges and provide tailored solutions that leverage the power of the Databricks platform. This is an exciting opportunity to merge your technical expertise wi…
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About This Role: Join Freenome as a Senior Machine Learning Research Engineer on our Machine Learning Science (MLS) team, part of the Computational Science department. We are looking for a candidate with extensive experience in designing and developing deep learning (DL) pipelines and a proven track record in creating scalable and reliable artificial intelligence/machine learning (AI/ML) systems within cloud environments. The MLS team at Freenome tackles the complexities of developing DL models using large-scale genomic data. As a Senior Machine Learning Research Engineer, your primary responsibility will be to establish and maintain the infrastructure necessary for the creation of these DL models. You will enable distributed DL pipelines, optimize hardware usage for efficient training, and implement model optimizations. Collaborating closely with interdisciplinary teams of machine learning scientists, computational biologists, and software engineers, you will play a key role in advancing state-of-the-art ML/AI models and furthering Freenome’s mission to reduce cancer mortality through accessible early detection. This position reports to the Director of Machine Learning Science and can be hybrid, based in our Brisbane, California headquarters (2-3 days in the office), or fully remote.
About OkendoAt Okendo, we are passionate about transforming happy customers into powerful advocates for the brands they cherish. Our innovative customer marketing platform strengthens the bond between consumers and businesses, enabling Shopify brands to accelerate growth and enhance efficiency by fostering brand loyalty and maximizing customer lifetime value.Trusted by over 16,000 Shopify brands, our comprehensive suite of products—spanning Reviews, Referrals, Quizzes, Loyalty, and Surveys—helps turn casual shoppers into enthusiastic Superfans.Position OverviewAs a Senior Backend Engineer, you will be an integral part of our Product Engineering team, dedicated to enhancing the Okendo platform through engineering excellence and a product-oriented mindset. You will leverage your robust software development foundation to write clean, efficient code and collaborate with cross-functional teams in designing, developing, and implementing software solutions that align with business goals. Your responsibilities will encompass problem-solving, testing, and deploying software while adhering to industry standards and best practices.Our Tech Stack:Frontend:- Vue for embeddable widgets and shopper-facing components- Angular for merchant administration- React integrated with ShopifyBackend:- Serverless architecture on AWS, utilizing API Gateway for APIs, CloudFront for CDN, and S3 for storage- Lambda (executing Node.js) for computing tasks- DynamoDB as our primary data store, with data replication into Redshift for reporting and OpenSearch for search and aggregation- SQS and SNS for message queuingLanguages & Tools:- Terraform for Infrastructure as Code- TypeScript as our preferred programming language- VS Code as our IDE- Jira for agile project managementYour Impact:Knowledge:Gain a broad understanding of our system architecture, the services within our tech stack, and proficiency in product features and usage. Familiarize yourself with team processes and standards while applying your technical expertise and problem-solving skills.Delivering Results:Take ownership of developing, testing, and deploying software solutions, breaking down complex tasks into manageable components, estimating task durations, and effectively managing timelines. Plan and structure code changes, identifying potential impacts and key stakeholders.
