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

About this opportunity:

At Freenome, we are seeking a Director, Technical Product Management to help grow the Freenome Product Management team. The ideal candidate is a seasoned leader who bridges the gap between complex molecular biology and scalable software products in a regulated environment. This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation. You are passionate about building seamless, high-throughput clinical workflows that ensure data integrity and regulatory compliance, and you 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, Product Management. This role will be a Hybrid (based in our Brisbane, California headquarters) or Remote role. 

What you’ll do:

• Define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.
• Lead feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.
• Direct the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.
• Ensure all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.
• Collaborate with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.
• Ensure compliance to Software Development Life Cycle (SDLC) for diagnostic products, from initial concept to commercial launch for deliverables owned by Technical Product Management.
• Manage cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.
• Establish and monitor key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment. 

Must haves:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.
• Proven experience with LIMS/LIS and laboratory automation workflows.
• Deep familiarity with FDA software guidelines and CLIA regulations.
• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.
• Demonstrated experience managing and scaling technical product teams in a regulated environment.
  

Nice to haves:

• MS or PhD in a technical or scientific field.
• Experience with Next-Generation Sequencing (NGS) data pipelines.
• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

Benefits and additional information:

The US target range of our base salary for new hires is $220,400 - $281,400. 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

Role

The Software & Data Science team at Vivodyne tackles some of the hardest problems at the intersection of human biology, large-scale data, and machine learning using uniquely rich imaging and multi-omics datasets from lab-grown human tissues.

We are expanding our capabilities to generate high-throughput -omics data across automated human tissue models, with a primary focus on single-cell and bulk transcriptomics, secretomics, and proteomics. We're looking for a Bioinformatician who can develop new analytical methods and build robust infrastructure to support them at scale.

You will define how we process, store, integrate, and interpret biological datasets, making foundational decisions that shape the long-term utility of our data for internal research, AI/ML model development, and external partners. This means owning both the science (what question does this analysis answer, and how defensible is the conclusion?) and the engineering (does this pipeline run reliably at scale, and can someone else extend it?).

This is a high-impact, cross-functional role. You'll sit within the Software & Data Science organization and collaborate daily with experimental biologists, AI/ML researchers, software engineers, and client-facing teams.

This is a full-time, onsite role in San Francisco.

Responsibilities

Develop and Own Analytical Methods

• Design, implement, and critically evaluate computational approaches for scRNA-seq, bulk RNA-seq, secretomics, and proteomics data including QC, normalization, batch correction, dimensionality reduction, clustering, differential expression, trajectory analysis, and multi-dataset integration.
• Go beyond applying standard tools: develop or adapt methods for perturbation modeling, causal inference, network reconstruction, ligand-receptor inference, and multi-omics integration as the science demands.
• Select and standardize tooling based on rigorous benchmarking, not convention. Challenge default choices when the data or use-case warrants it.

Build Scalable, Production-Grade Pipelines

• Architect end-to-end analysis workflows in Python and/or R using modern workflow orchestration (Nextflow, Snakemake, or equivalent) that are reproducible, version-controlled, and designed to run at the scale of tens to hundreds of thousands of samples.
• Partner with software and data engineers to productionize pipelines, ensure robust data ingestion and storage, and contribute to decisions on biological data architecture (storage formats, schema design, long-term data usability).
• Write well-documented, testable code that other engineers and scientists can run, review, and extend.

Drive Biological Insight and Interpretation

• Own dataset analysis to answer biological and client-driven questions with rigor. Ground conclusions in the limits of the data and clearly communicate what can and cannot be concluded with confidence.
• Partner with experimental biologists to frame the most relevant biological questions, design analyses, and recommend experiments and data-generation strategies to fill key gaps.
• Produce publication-quality figures, internal reports, and partner-facing deliverables that are decision-useful.

Shape Data Strategy

• Help define benchmarking strategies for internal tissue model development.
• Proactively identify opportunities to leverage internal and public datasets to accelerate scientific progress.
• Contribute to decisions around data standards, comparability, and the integration of omics features into downstream ML models and AI workflows.

Communicate Across Functions

• Translate complex multi-omic analyses into clear insights for biologists, AI/ML researchers, software engineers, and non-technical stakeholders.
• Tailor depth and framing to the audience while maintaining scientific rigor.

Requirements and Expectations

Technical Expertise

• Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Biostatistics, or a related quantitative field with deep focus on transcriptomics and/or proteomics.
• 2–5 years of post-PhD experience; some industry experience strongly preferred.
• Strong, hands-on proficiency in Python for bioinformatics (Scanpy and the broader scverse ecosystem in particular) with the judgment to know when existing tools are insufficient and the skill to build alternatives. Familiarity with R-based workflows (Seurat, Bioconductor, Monocle) is valued as evidence of breadth, but Python is the production language.
• Deep experience with scRNA-seq datasets and workflows, including QC, batch correction, clustering, differential expression, annotation, and integration across experiments.
• Experience with proteomics or secretomics analysis (Olink or similar high-dimensional panels), including normalization and cross-modality integration with transcriptomic profiles.
• Comfort in a Unix/Linux environment with standard dev tools (git, containers, CI/CD); experience with cloud environments (AWS) and workflow managers is a strong plus.
• Familiarity with data infrastructure for large-scale biological data (e.g., AnnData/H5AD, TileDB-SOMA, or similar) is a plus.

Problem Solving & Ownership

• Ability to independently structure and execute complex analytical projects from ambiguous initial questions to concrete, reviewable outputs.
• Strong biological intuition for distinguishing meaningful signal from artifact and the discipline to validate before interpreting.
• Comfortable navigating ambiguity in a fast-moving startup; can prioritize, make trade-offs, and hit agreed timelines.

Collaboration & Communication

• Excellent written and verbal communication; able to explain computational methods and biological implications to biologists, engineers, and non-technical stakeholders.
• Proven ability to collaborate across disciplines.

Innovation & Leadership

• Track record of taking omics analyses from raw data to figures/tables suitable for publications, reports, or decision meetings.
• Demonstrated ability to manage multiple analyses in parallel and ship work on predictable timelines.
• History of method development or meaningful adaptation of existing methods to novel data types or experimental designs.

Preferred Qualifications

• Experience with multi-modal data integration (e.g., combining imaging, transcriptomics, and proteomics features).
• Background in drug discovery, toxicology, or translational research where multi-omic data inform therapeutic decisions.
• Experience with representation learning or ML for biological data (embeddings for cells, genes, or proteins), especially in collaboration with ML specialists.
• Familiarity with organoids, primary tissues, or organ-on-chip systems.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.

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. 

As a Specialist OT Engineer, you’ll be joining the IT & Security team responsible for maintaining High System Integrity Protection Scheme (SIPS) Performance at Waratah Super Battery; the most powerful BESS globally. In addition, the team recently achieved commercial operation date (COD) alongside the first full month of operational reporting for Akaysha’s Ulinda Park BESS.  

Building on this momentum, the role will focus on establishing and sustaining stable, reliable day-to-day OT system operations across multiple live sites. You will play a key role in supporting BAU activities, maintaining system integrity, and ensuring OT environments operate safely and predictably over time. 

Each site presents unique technical and operational considerations, offering the opportunity to deepen your experience in supporting the reliability, performance, and security of operational technology systems. This includes hands on involvement with SCADA servers and HMIs, as well as PCS, BMS, and EMS subsystems, throughout the operations and maintenance phase of largescale energy assets.  

Your expertise will be critical in enabling stable, visible and secure OT environments across Akaysha’s portfolio of assets with your work making a tangible impact as you: 

• Manage and maintain OT infrastructure—including SCADA, HMIs, BESS, gateways, and historians—while overseeing configuration, documentation, system health, automation, and lifecycle planning. 
  
  
• Support secure, governed OT–cloud integration (Azure/AWS) with accurate, high‑quality data flows for real‑time analytics and AI‑driven maintenance 
  
  
• Apply OT cybersecurity and compliance practices across AESCSF/IEC‑62443, hardening, secure access, monitoring, vulnerability management, asset control, backups, and SOCI requirements. 
  
  
• Maintain and troubleshoot OT system performance and communications across SCADA, RTUs, historians, and BESS subsystems while resolving incidents, supporting on‑call operations, and improving OT architectures and practices. 
  
  
• Coordinate OT vendor support, technical reviews, compliance, lifecycle planning, Tier 2/3 assistance, and commissioning activities while reviewing documentation and deliverables. 

Travel to AU sites once every 2-3 months or when needed, is a requirement of this position. The role can be based at Akaysha’s Melbourne (HQ), Sydney or Brisbane office with the option to work in a hybrid capacity – spending time in the office, and at home. 

Making an impact in this role will rely on proven expertise in the following areas:   

• Industrial Control Systems (ICS) & SCADA 
  Expertise in configuring and optimising ICS environments, including SCADA, HMIs, PLCs, RTUs, and IEDs for real‑time operations.
  
  
• Industrial Communication Protocols 
  Skilled in applying and interpreting industrial protocols - Modbus, DNP3, IEC 61850, and OPC/OPC‑UA—to ensure reliable device and system communication. 
  
  
• OT Cybersecurity 
  Proficient in applying OT security frameworks (AESCSF, IEC 62443) to guide hardening, segmentation, and secure system architecture. 
  
  
• Troubleshooting & Systems Diagnostics 
  Skilled in diagnosing faults across OT networks, control systems, data pipelines, and BESS subsystems using structured problem‑solving and root‑cause methods. 
  
  
• Cloud‑Integrated OT Systems 
  Knowledge of OT–cloud integration patterns, including telemetry pipelines, secure connectivity, and cloud‑based monitoring and analytics. 
  
  
• Vendor & Contractor Coordination 
  Experienced in coordinating technical validation and lifecycle activities with OEMs, service providers, and contractors across reviews and assessments. 
  
  
• Technical Documentation 
  Proficient in producing clear, accurate technical documentation, including diagrams, procedures, system records, and operational artefacts. 

Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.

Position Summary

This role owns IT service delivery and vendor operations at Nurix. You will manage our internal service delivery team, oversee our managed service providers, and lead initiatives to improve how IT supports the business. Beyond running day-to-day operations, you will design and evolve Nurix's IT operating model as the company grows.

The goal is not simply to manage vendors, It’s to create a service experience where employees get reliable help, problems get solved quickly, and IT enables rather than slows down the work.  You're empowered to restructure vendor relationships, change providers, or build internal capability as needed to achieve that outcome.

This is a growth role. In Year 1, the focus is building a strong operational foundation. As that foundation matures, the role expands toward direct engagement with lines of business as an IT strategic partner.

Responsibilities

Service Delivery

• Lead the service delivery function, including the Service Delivery Manager and coordination with MSPs
• Own escalations and ensure employees receive timely, quality support
• Design and improve service delivery processes: documentation, knowledge
  management, meaningful metrics
• Evolve the operating model over time—assess what should be handled internally vs. through partners
• Manage on-prem infrastructure through MSPs; build internal capability if and when it makes sense

Vendor Operations

• Own vendor relationships across the IT service provider portfolio
• Set clear expectations: scope, performance standards, accountability
• Lead contract negotiations and renewals to improve value
• Ensure vendors build our capability—we want to learn, not become dependent
• Rationalize the vendor portfolio as needed to improve outcomes

Planning & Programs

• Develop a technology roadmap aligned with Nurix's clinical and business milestones, including sequencing and tradeoff rationale to support leadership decision-making
• Help leadership prioritize initiatives—frame options, clarify tradeoffs, recommend paths forward
• Lead cross-functional projects spanning infrastructure, security, and applications
• Support budget development, expense tracking, and financial reporting

Collaboration

• Coordinate with Information Security on system hardening and compliance
• Work with Cloud Infrastructure on AWS and cloud-first initiatives

Qualifications

• 10+ years in IT, including 5+ years in leadership or management roles
• Experience managing vendor relationships: contracts, performance, accountability
• Background in biotech, pharma, or life sciences
• Track record building roadmaps and driving cross-functional alignment
• Strong at translating business needs into actionable plans
• Effective communicator across technical and scientific audiences
• Bachelor's degree in a technical field, or equivalent experience

Preferred

• Familiarity with GxP and regulated IT environments
• Experience with research platforms (ELN, LIMS, scientific data systems)
• AWS or cloud platform experience
• Product management or digital strategy background
• Coordinate with Information Security on system hardening and compliance
• Work with Cloud Infrastructure on AWS and cloud-first initiatives

Fit with Nurix Culture and Values

• Strong team orientation; highly collaborative
• Ability to function in a dynamic environment
• Solutions and results-oriented focus
• Hands-on approach; resourceful and open to diverse points of view

Salary Range: $ 214,637 – $244,431

Location: Brisbane, CA - Onsite 

Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix.  By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/). 

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

Role

The AI Team at Vivodyne tackles some of the hardest and most interesting challenges in science and engineering. With access to extraordinarily feature-rich and massive-scale Vivodyne human tissue imagery, we are advancing the frontiers of artificial intelligence and its applications in biology. We are building a portfolio of AI technologies to automate the discovery, development, and de-risking of novel therapies using our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning & study design, among others.

As an AI Senior Scientist, you will leverage your deep expertise in developing large-scale models (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to help turn our state-of-the-art imaging and multi-omics datasets into groundbreaking scientific insights. You will collaborate closely with biologists, engineers, and AI specialists to deliver robust, production-ready algorithms and models that power Vivodyne’s high-impact discoveries.

This role will be based on-site at our offices in Brisbane, California

Responsibilities

• Scientific Innovation — Work closely with internal and external stakeholders to understand their scientific objectives and innovate new approaches that utilize Vivodyne’s massive-scale imaging and multi-omics datasets.

• Model Development — Lead hands-on development of cutting-edge machine learning models (Transformers, Diffusion, hybrid architectures, etc.) with a focus on image processing, image enhancement, and Phenomap embeddings.

• Data Pipeline Optimization — Build and deploy pipelines capable of scaling to petabyte-scale data, ensuring robust MLOps practices on AWS or equivalent cloud platforms.

• Multimodal Integration — Explore and develop novel methods to incorporate multi-omics data into imaging-based Phenomaps, advancing the state of the art in multimodal phenotypic analysis.

• Collaboration & Communication — Partner with tissue engineers, microfluidics experts, and robotics engineers to refine data collection strategies, provide feedback on imaging system performance, and identify opportunities for improved AI-driven solutions.

• Scientific Rigor & Leadership — Uphold scientific excellence through peer reviews, proper documentation, and clear communication. Drive a culture of continuous improvement, best practices, and adherence to rigorous research methodologies.

• Scalability & Efficiency — Emphasize modularity, composability, and performance efficiency in designing and implementing high-throughput compute and analytics pipelines.

• Domain & Technical Growth — Remain current with the latest research trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training. Proactively share knowledge and mentor teammates to foster overall organizational expertise.

Requirements and Expectations

• Scientific Excellence — Stay current with AI/ML research, especially in Generative AI, Transformers, Diffusion models, and multi-modal architectures. Apply rigorous, data-driven methods for sound outcomes.
• Hands-On Leadership — Set high standards for model development and code quality, mentoring team members and fostering innovation.
• Accountability — Own model and infrastructure development from concept to deployment, delivering reliable, scalable solutions aligned with Vivodyne’s mission.
• Problem Solving & Adaptability — Develop creative solutions to novel research challenges, thriving in a fast-paced, dynamic startup environment.
• Collaboration & Communication — Work cross-functionally to align AI strategies with business goals, ensuring clear communication and consensus-building.
• Delivering Results — Prioritize impactful research, using project management best practices to track progress, mitigate risks, and meet deadlines.
• Architecture & Coding — Design scalable, cost-effective systems and produce clean, well-documented code with continuous testing and governance compliance.
• Resource Optimization — Apply financial discipline to maximize the efficiency of compute, storage, and third-party services.
• Team & Thought Leadership — Foster an inclusive environment, mentoring future leaders and representing Vivodyne in AI research and industry discussions.

Qualifications

• Education & Experience

• PhD in Computer Science, Applied Mathematics, or a related field, or equivalent practical experience.
• Proven expertise developing and deploying advanced ML architectures (Transformers, Diffusion, multi-modal models) in Generative AI settings.
• Demonstrated history of success with image processing and large-scale model training.

• Technical Skills

• Strong knowledge of AWS or another major cloud provider for MLOps, big data processing, and scalable computing.
• Experience building models for petabyte-scale datasets and understanding the associated architectural and operational complexities.

• Domain Expertise (Preferred)

• Familiarity with biological or biomedical imaging; advanced knowledge in multi-modal Phenomaps, especially integrating imagery with multi-omics data, is a major plus.

• Additional Desired Skills

• Prior experience with HPC, GPU clusters, or distributed computing frameworks.
• Comfortable with container orchestration and open-source data engineering/ML frameworks.

• Soft Skills & Leadership

• Strong written and oral communication skills, with a proven ability to present complex technical topics to non-experts.
• Demonstrated ability to thrive in ambiguous environments, driving clarity and direction with minimal supervision.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.