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

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 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