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 App of the Day.

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.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas 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
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

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.

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

About the Role:

As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world’s most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave’s AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale.

What You’ll Do:

• Own the technical wins by building proof of value (PoVs). You’ll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations.
• Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem .
• Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale.
• Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions.
• Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles.
• Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering.
• Partner closely with Product and Engineering to relay customer feedback, shape roadmap priorities, and improve the end-to-end AI developer experience.

Who You Are:

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role.
• Bachelors degree in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, or related field. Master in similar area of study preferred.
• Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications.
• Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems.
• Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails.
• Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices.
• Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value.
• Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact.
• Thrives in fast-paced environments and can manage multiple customer engagements simultaneously.

Preferred:

• Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval).
• Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems. 
• Experience operating distributed workloads using Slurm, Ray, or Kubernetes.
• Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI.
• Experience in MLOps/LLMOps platform engineering or supporting enterprise AI deployments.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

How you will help

Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback.

As an AI Staff Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy.

Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale.

What you will do

• Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
• Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
• Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
• Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.
• Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns.

How success will be defined

• Successfully deliver multiple high-impact customer or partner engagements, translating ambiguous business needs into production-ready technical solutions.
• Drive adoption and demonstrated the value of HealthVerity platform capabilities within real customer environments.
• Build strong, trusted relationships with customers and internal stakeholders, reflected in consistently positive feedback on technical delivery and collaboration.
• Influence product and platform direction by bringing concrete, field-driven insights into roadmap, architecture, and prioritization discussions.
• Leave behind durable, maintainable solutions and reusable patterns that scale beyond individual engagements.

Required skills and experience

• 8+ years of software engineering experience, delivering production systems in Python, and/or JavaScript/TypeScript.
• Experience building data-intensive, distributed systems, including APIs, data pipelines, and cloud-native services (AWS or similar).
• Demonstrated experience owning and productionizing AI/ML solutions—taking them beyond experimentation into reliable, monitored workflows and systems
• Strong ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
• Clear communicator with the ability to work effectively across engineering, product, and customer teams.

Desired skills and experience

• Experience working in regulated or compliance-driven environments (e.g., healthcare, life sciences, financial services).
• Background in customer-facing or domain-embedded engineering roles (e.g., forward-deployed, solutions, or consulting).
• Familiarity with modern data platforms and analytical workloads (e.g., Databricks, Spark, Snowflake).
• Experience influencing product or platform direction through real-world delivery or field-driven insights.

Base salary for the role is commensurate with experience and can range between $170,000 - 220,000 + annual bonus opportunity.

At Midi Health, we're on a mission to revolutionize healthcare for women at midlife—to relieve their symptoms, support their wellbeing, and ensure they feel seen, heard, and cared for. Our care is personalized, evidence-based, and covered by insurance, making it more accessible to women across the country. Wherever they live. Whatever their health story.

We’re rapidly growing and looking for passionate full-time Nurse Practitioners to join our dedicated clinical team. You’ll help close the gender health gap by guiding women through perimenopause, menopause, and other midlife transitions with compassionate, evidence-based care.

🌟 Why Work With Midi? 

• Mission-Driven Impact: Join us in transforming healthcare for women in midlife—making a meaningful difference every day.
  
  
• Remote (U.S.–Based) Role with Structured Hours: Work fully remote from within the United States with patient-facing hours scheduled between 7:00 AM and 7:00 PM, adjusted by patient location and licensure. This is not a digital nomad role; work may not be performed while you are outside the United States.
   
• Continuous Learning: Access weekly clinical education to stay sharp and advance your expertise in women’s midlife health.
  
  
• Purposeful Visits: Our appointments provide you with time to listen, educate, and deliver personalized care that truly supports your patients.
  
  
• Technology + Clinical Support: Benefit from structured onboarding, user-friendly tech, and operational assistance—including elements of logistics, scheduling, and clinical operations—so you can focus on care without being on your own.
  
  
• Community of Care: Be part of a collaborative, respectful team passionate about women’s health and dedicated to your professional growth.

🎓 Qualifications

• Active, unrestricted, and unencumbered Nurse Practitioner license in at least one U.S. state.*Multiple state licenses are highly preferred.
• Prescriptive authority as a Nurse Practitioner.
• Active national board certification (FNP, WHNP, AGNP, or similar).
• Minimum 3 years of recent experience (within the last 5 years) practicing as a Nurse Practitioner in Primary Care, Women’s Health, or Gynecology.
• Ability to work independently and make sound clinical decisions.
• High proficiency and efficiency with technology (telehealth platforms, EMRs, communication tools).
• A strong passion for caring for women navigating menopause and midlife health transitions.

🩺 How Midi Works — and Why It’s Different

At Midi, you’ll practice with purpose in a virtual-first care model that puts women’s needs front and center:

• Quality visits, better conversations: Appointments designed to allow time to listen, educate, and personalize care.
• Evidence-based protocols: Trained in expert-developed clinical pathways combining hormonal therapy, lifestyle coaching, and medication when appropriate.
• Care beyond the screen: Patients receive labs, prescriptions, supplements, and referrals as needed—our platform makes it seamless.
• You’re never alone: Supported by a collaborative team of clinicians, care coordinators, and clinical leaders, with opportunities to grow and specialize over time.
• Meaningful specialty focus: Practice in women’s midlife health, a critically underserved area where you help close one of the most persistent gaps in care.
• Mission-aligned, patient-centered culture: Join a team dedicated to empathy, equity, and clinical excellence.

💼 What We Offer

• Compensation: $50-55/hr, plus bonus potential
• *Final offers may vary within the posted range to account for geographical location.
• Desirable benefits package, including medical, dental and vision 
• Paid time off for full time employees
• Clinician Professional Development allowance
• Full-time or part-time telehealth role
• Opportunity to participate in weekly accredited clinical education, often eligible to earn continuing education credit hours (CE)

#LI-DP1

Join us and be part of the movement changing women’s midlife healthcare for the better.

🎥 Learn More & Follow! ▶️ Youtube  🔗LinkedIn 📘Facebook 📸 Instagram 💃TikTok

About the Role:

We’re searching for an experienced and owner-minded Software Engineer to join Perpay and contribute to our culture of technical excellence. You will lead large-scale projects from start-to-finish, working across multiple teams (analytics, commerce, product, design, operations) while providing guidance to junior-level engineers. As we’re a growing engineering team, you’ll also have the opportunity to make an impact on our tech and our team. Given our people-first approach, your elevated level of contribution will strengthen our culture of inclusion, mentorship, and continuous learning.

As a leader of Perpay’s engineering team, you’ll collaborate with stakeholders ranging from entry-level contributors to senior-level executives. This opportunity is both unique and pivotal, as it offers the chance to provide leadership to a rapidly growing team. Our tech stack: Typescript, Javascript, React, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more

Our greatest strength is our people and we’d love for you to be one of them!

We highly value product-mindset, experience building production web apps for real users, and ability to coach and support junior engineers. An ownership mentality is a must, along with empathy and low ego. We’re building to win, and are eager to find more team members to help us get there.

You Will:

• Be a leader our team looks to as a model of execution, accountability, and technical expertise
• Lead the implementation of large scale features for our customers and our internal finance, operations, and risk teams
• Develop technical requirements alongside our Product team
• Solve problems that span multiple interconnected systems with distributed architectures and scaling systems
• Execute on the full lifecycle of new features with fellow engineers
• Continue to improve how we build, test, and deliver software

What You’ll Bring

• 5+ years of experience building web applications at scale in at least one modern language / framework (Python/Django, React/Typescript, Rails, etc.)
• 2+ years of experience leading technical teams and large, complex projects
• Experience working on consumer-facing products and demonstrating empathy for end-users
• Excellent at unblocking yourself and those around you, and an ability to design, analyze, and debug distributed systems and services.
• Significant experience with operating large scale services with AWS, Docker, and/or Kubernetes
• Excellent communication skills, including the ability to explain highly technical subject matter to a nontechnical audience

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!