Speechify, Inc.
Overview
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 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.
What You’ll Do Build & Scale AI Infrastructure: Design, implement, and maintain high‑performance ML training and inference platforms. Develop MLOps tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. Optimize performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. Collaborate across teams: Partner with researchers to turn experimental voice models into production‑ready systems. Ensure best practices: Establish standards for model versioning, testing, monitoring, and governance. Drive automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation.
Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps.
Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency.
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure‑as‑code tools (Terraform, CloudFormation).
Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow).
Deep understanding of data pipelines, model deployment, real‑time inference systems, and reliability of AI systems.
Strong communication skills and the ability to work across engineering and data science teams.
Hands‑on with CI/CD and Model Serving.
Nice to Have
Experience with feature stores, vector databases, or large‑scale model training.
Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink).
Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog).
Contributions to open‑source ML/MLOps projects.
GPU optimization (TensorRT, ONNX, vLLM, Triton).
Experience with low‑latency audio/streaming systems.
Familiarity with vector DBs or feature stores.
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.
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.
Voluntary Self‑Identification For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Speechify’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Voluntary Self‑Identification of Disability Form CC‑305
Page 1 of 1
OMB Control Number 1250‑0005
Expires 04/30/2026
Why are you being asked to complete this form?
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way.
How do you know if you have a disability?
A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability.
Disabilities include, but are not limited to:
Alcohol or substance use disorder (not currently using illegal drugs).
Autoimmune disorders such as lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS.
Blind or low vision.
Cancer (past or present).
Cardiovascular or heart disease.
Celiac disease.
Cerebral palsy.
Deaf or serious difficulty hearing.
Diabetes.
Disfigurement caused by burns, wounds, accidents, or congenital disorders.
Epilepsy or seizure disorders.
Gastrointestinal disorders such as Crohn’s disease, irritable bowel syndrome.
Intellectual or developmental disabilities.
Mental health conditions such as depression, bipolar disorder, anxiety, schizophrenia, PTSD.
Missing limbs or partially missing limbs.
Mobility impairments, including use of a wheelchair, scooter, walker, or leg braces.
Nervous system conditions such as migraine headaches, Parkinson’s disease, multiple sclerosis.
Neurodivergence such as ADHD, autism spectrum disorder, dyslexia, dyspraxia, and other learning disabilities.
Partial or complete paralysis.
Pulmonary or respiratory conditions such as tuberculosis, asthma, emphysema.
Short stature (dwarfism).
Traumatic brain injury.
#J-18808-Ljbffr
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 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.
What You’ll Do Build & Scale AI Infrastructure: Design, implement, and maintain high‑performance ML training and inference platforms. Develop MLOps tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. Optimize performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. Collaborate across teams: Partner with researchers to turn experimental voice models into production‑ready systems. Ensure best practices: Establish standards for model versioning, testing, monitoring, and governance. Drive automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation.
Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps.
Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency.
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure‑as‑code tools (Terraform, CloudFormation).
Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow).
Deep understanding of data pipelines, model deployment, real‑time inference systems, and reliability of AI systems.
Strong communication skills and the ability to work across engineering and data science teams.
Hands‑on with CI/CD and Model Serving.
Nice to Have
Experience with feature stores, vector databases, or large‑scale model training.
Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink).
Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog).
Contributions to open‑source ML/MLOps projects.
GPU optimization (TensorRT, ONNX, vLLM, Triton).
Experience with low‑latency audio/streaming systems.
Familiarity with vector DBs or feature stores.
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.
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.
Voluntary Self‑Identification For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Speechify’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Voluntary Self‑Identification of Disability Form CC‑305
Page 1 of 1
OMB Control Number 1250‑0005
Expires 04/30/2026
Why are you being asked to complete this form?
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way.
How do you know if you have a disability?
A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability.
Disabilities include, but are not limited to:
Alcohol or substance use disorder (not currently using illegal drugs).
Autoimmune disorders such as lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS.
Blind or low vision.
Cancer (past or present).
Cardiovascular or heart disease.
Celiac disease.
Cerebral palsy.
Deaf or serious difficulty hearing.
Diabetes.
Disfigurement caused by burns, wounds, accidents, or congenital disorders.
Epilepsy or seizure disorders.
Gastrointestinal disorders such as Crohn’s disease, irritable bowel syndrome.
Intellectual or developmental disabilities.
Mental health conditions such as depression, bipolar disorder, anxiety, schizophrenia, PTSD.
Missing limbs or partially missing limbs.
Mobility impairments, including use of a wheelchair, scooter, walker, or leg braces.
Nervous system conditions such as migraine headaches, Parkinson’s disease, multiple sclerosis.
Neurodivergence such as ADHD, autism spectrum disorder, dyslexia, dyspraxia, and other learning disabilities.
Partial or complete paralysis.
Pulmonary or respiratory conditions such as tuberculosis, asthma, emphysema.
Short stature (dwarfism).
Traumatic brain injury.
#J-18808-Ljbffr