Your Role:

Tenable is seeking a Principal Security Engineer to support demos and evaluations of enterprise opportunities across the territory. Assist in developing business value propositions around Tenable's products and solutions. Drives sales with technical expertise, account management skills, sales ability and a superior customer focus. Participates as part of a sales team to achieve or exceed revenue targets. 

Your Opportunity:

• Become a Vulnerability and Risk Management SME and advisor to some of the world’s largest organizations
• Meet with prospective clients to discover what their biggest security challenges and highest priority business drivers are
• Map Tenable’s unique business value and differentiators to their challenges and business drivers
• Perform custom portfolio demonstrations based on strong discovery question and real intel
• Partner with like-minded peers across Tenable to build exceptionally strong teams and shared knowledge
• Influence product directions, make a difference and be part of Tenable’s growth and leadership in the ever faster-moving world of network security
• Up to 25% travel

What You'll Need:

• Prior experience working in a security-related technical pre-sales role
• Understanding how to craft a custom demo vs delivering a canned demo
• Skill and confidence in leading discussions from a deep technical level to the executive level
• A strong self-starter attitude and determination to win
• Solid teamwork skills, teamwork is everything at Tenable
• Solid Interpersonal “smarts”
• Willingness to travel where and when needed within your territory, typically around 25% on average

And Ideally...

• Experience with Nessus and/or other network security technologies
• Solid foundational knowledge of TCP/IP and network security concepts
• Experience with Enterprise class operating systems at the security admin level
• Demonstrable experience with modern computing infrastructures such as AWS, Azure, GCP, OpenStack, etc.
• Docker and DevOps knowledge, API scripting, Python SDK
• Knowledge of compliance standards (e.g., PCI, FISMA, SOX, NERC)
• BS in Computer Science or related field, 10+ years of direct SE experience
• CISSP, GIAC, CEH, or other security-related certifications

#LI-KM1

#LI-Hybrid

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About this opportunity:

At Freenome, we are seeking a Senior Software Engineer II to join our innovative Engineering team. The ideal candidate is an experienced backend engineer with a strong background in developing scalable and reliable software solutions. You will play a crucial role in designing, building, and maintaining backend services that support our mission to detect cancer early. This position requires a collaborative mindset, as you will work closely with an interdisciplinary team of engineers, scientists, and product managers to deliver high-quality software solutions. You are passionate about software development best practices and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to our engineering management team. This role will be a Remote role. 

What you’ll do:

• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems.
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions.
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise.
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration.
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration.
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems.
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.
  

Must haves:

• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience.
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others.
• Proficiency in Python and experience with backend development in a team production environment.
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance.
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration.
  

Nice to haves:

• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems.
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar.
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, and the ability to thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
• Build models that achieve high accuracy and that generalize robustly to new data.
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
• Take a mindful, transparent, and humane approach to your work.

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.

Benefits and additional information:

The US target range of our base salary/hourly rate for new hires is $173,775 - $246,750. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment. 

The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission of reducing cancer mortality via accessible early detection.

The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference.
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs.
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability.
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary.
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must haves:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerization technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines. 
  

Nice to haves:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325 You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About this opportunity:

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
  
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
  
• Build models that achieve high accuracy and that generalize robustly to new data.
  
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
  
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
  
• Take a mindful, transparent, and humane approach to your work.
  

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
  
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
  
• Experience in NGS data analysis and bioinformatic pipelines.
  
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
  
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
  

Benefits and additional information:

The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID