Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

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

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

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.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience 
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $175,000–$205,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

As a Forward Deployed Engineer at AFS, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client’s vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations.

Day-to-Day Responsibilities

• Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients’ needs.
• Data Synthesis: Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
• Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
• Production-Grade Solutions: Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.
• Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

What We Look For

• Client Success Obsession: A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value.
• Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.
• Technical Proficiency: Proficiency in relevant programming languages (e.g., Python, TypeScript) and the ability to build applications that utilize large structured and unstructured datasets in production environments.
• Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver’s seat.
• Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products.
• Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams.
• Willingness to Travel: Flexibility to travel as needed for client implementation work.

In this role, you’ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations function by providing powerful tools to those who can drive change.

Here’s what you need:

• Palantir Foundry: Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows: 

  • Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies 
  • General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer 
  • Data pipeline development in Foundry
    
    • Develop transforms on structured (tabular) and unstructured datasets in Foundry 
    • Apply best practices when building data pipelines 
  • Data pipeline maintenance in Foundry 
    • Effectively investigate and fix common issues in data pipelines 
    • Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows 
    • Familiarity with recommended support structures 
  • Data connection and integration in Foundry 
    • Familiarity with architecture and capabilities of Data Connection 
    • Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry 
  • Ontology design and development in Foundry 
    • Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements 
• Bachelor’s degree in Computer Science or related field
• Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets  
• Strong foundation in machine learning
• Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar
• Ability to travel, dependent on client and team

Bonus points if you have: 

• Experience building solutions with large language models
• Active government security clearance #LI-DataAI

#LI-DataAI

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $175,000–$205,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

We are seeking talented operations and intelligence professionals experienced in the Palantir platform to join our team. As a Field Service Representative (FSR) Analyst, you will be on the front lines assisting Palantir’s implementation teams to support and strengthen the unique partnerships with Palantir's client’s user base. You will work side-by-side with analysts to train and mentor users, test and troubleshoot technical issues, develop new Palantir use cases, all while solving unique and challenging problems. This may take the form of embedding with users across the world as well as downloading your insights directly with Palantir team members in our offices. Lastly, you will help facilitate collaboration across a global enterprise while ensuring our customers' continued success. Come help solve the world’s hardest problems.

Core Responsibilities

• Provide desk-side training to analysts
• Train analysts/operators in a classroom setting
• Embed with user groups to deeply understand workflows
• Proactively develop relationships with users at customer site and surface use case gaps
• Build initial dashboard products and assist users with building questions
• Remain current and up to date on latest platform features and capabilities
• Staff the Help Desk by responding to user requests and work with the Palantir engineering team to troubleshoot issues
• Provide timely and detailed feedback to the Palantir engineering team about product
• Consistently communicate product or user issues to the Palantir team

What We Value

• Prior experience with Palantir platforms required (i.e. Palantir Foundry, Gotham, Gaia, etc.). Recent and in-depth hands-on experience with Palantir platforms highly preferred.
• Military/Special Operation/Law Enforcement experience is highly preferred
• Experience briefing high-level military stakeholders is highly preferred
• Experience fusing intelligence capabilities in support of operations
• Technical background with working knowledge of Python, Java, and/or JavaScript/typescript
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to work independently and as part of a team
• Ability to travel domestically and internationally 25% of the time if needed

What We Require

• (As required by U.S. Government contract) U.S. citizenship
• (As required by U.S. Government contract) TS/SCI clearance eligibility

We are seeking talented operations and intelligence professionals experienced in the Palantir platform to join our team. As a Field Service Representative (FSR) Analyst, you will be on the front lines assisting Palantir’s implementation teams to support and strengthen the unique partnerships with Palantir’s current and prospective user bases. You will work side-by-side with analysts to train and mentor users, troubleshoot technical issues, develop new Palantir use cases, all while solving unique and challenging problems. This may take the form of embedding with users across the world as well as downloading your insights directly with Palantir team members in our offices. Lastly, you will help facilitate collaboration across a global enterprise while ensuring our customers’ continued success. Come help solve the world’s hardest problems!

Core Responsibilities

• Provide desk-side training to analysts.
• Train analysts/operators in a classroom setting.
• Staff the Help Desk: respond to user requests and work with the Palantir engineering team to troubleshoot issues.
• Provide feedback to the Palantir engineering team about product. 

What We Value

• Experience fusing intelligence capabilities in support of operations.
• Technical background with working knowledge of HTML, Ruby, Python and/or Java, Microsoft Excel as well hardware, networks, and server administration.
• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry is a plus.
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner.
• Ability to travel domestically and internationally 25% of the time.
• Ability to work independently and as part of a team.
• Strong knowledge of Excel.
• Military/Special Operation/Law Enforcement experience is a plus.

Requirements

• (As required by U.S. Government contract) U.S. citizenship
• (As required by U.S. Government contract) TS/SCI clearance eligibility