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Machine Learning Engineer
Recruiting From Scratch
Remote operations engineer job
Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client :
Title of Role: Machine Learning Engineer
Location: San Francisco, CA
Company Stage of Funding: Series A
Office Type: Onsite (5 Days a Week)
Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%)
Company Description
We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue.
Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models.
What You Will Do
Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes.
Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data.
Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems.
Own ML features from research and experimentation to scalable deployment in real-world healthcare environments.
Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals.
Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability.
Ideal Candidate Background
5+ years of hands-on experience building and deploying production-grade machine learning systems.
Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use.
Deep understanding of ML frameworks such as PyTorch and TensorFlow.
Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs).
Prior work in document processing, information extraction, or question-answering systems.
Preferred
MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience.
Exposure to fast-paced startup environments with small, collaborative teams.
Contributions to ML research or publications are a plus, but not required.
Experience in healthcare tech or working with EHR data is a bonus.
Compensation and Benefits
Base Salary: $140,000 - $240,000
Equity: 0.2% - 0.8% stock options
Visa Sponsorship: H1B transfers supported
Work Schedule: Full onsite presence (5 days/week), working west coast hours
Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up.
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A tech company is looking for a Software Engineer for the mac OS team. Your role includes owning the architecture of the mac OS app, writing production-quality code, and collaborating with cross-functional teams. The ideal candidate should have experience in mac OS application development, a strong focus on user experience, and the ability to work in a remote setting. This position offers competitive compensation, including a salary range of $140,000-$200,000 USD per year plus bonuses and stock options.
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A leading consulting platform company based in San Francisco is seeking a creative Product Engineer. This role involves building impactful user-facing features and collaborating across teams to deliver scalable solutions. Candidates should have at least 3 years of software engineering experience, a track record of creating high-quality products, and a passion for solving complex problems. This company offers competitive salaries and a flexible work environment, aiming to foster a diverse and inclusive workplace.
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$97k-134k yearly est. 3d ago
Product Engineer - Vault
Workos
Remote operations engineer job
🚀
WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others.
About the role 💭
The Vault team is responsible for building and scaling WorkOS Vault, our developer-friendly encryption key management and secret storage product. Vault enables applications to encrypt, segment, and optionally store highly sensitive data-tokens, passwords, certificates, PII, API keys, files-backed by enterprise-grade encryption and key management infrastructure. The vision for Vault is to make cryptography simple and fast, and the product currently serves tens of millions of encryption requests each day.
On this team you'll work on building reliable, high-throughput systems, defining new abstractions for developer-friendly encryption, and crafting APIs that both scale and stay simple. We're looking for Engineers to join this team that are motivated by solving deep security and infrastructure problems, owning high-impact systems end-to-end, and working closely with customers to deliver robust products,
Responsibilities ✔️
Architect and implement systems for real-time encryption, secure storage, key-rotation, and data revocation across multi-tenant applications
Build deep domain expertise around encryption key management (EKM), envelope encryption, BYOK (Bring Your Own Key), and context-based key isolation
Work closely with enterprise customers to understand their compliance, key control, and security requirements-and translate that into features (e.g., key segmentation, audit logs, cryptographic deletion)
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Collaborate cross-functionally with other product teams (e.g., AuthKit, Radar), solutions engineering, and GTM to ensure Vault integrates seamlessly into the broader platform
On greenfield opportunities: explore new features such as field-level encryption, e2e encryption, broader HSM integrations, client-side SDK enhancements
Help recruit, mentor, and grow the engineering team around Vault's roadmap
Qualifications 🌟
5+ years of industry software development experience
Experience working on small teams in fast-paced environments
Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms
Intellectually curious, independently driven, and passionate about great products
A growth mindset, high emotional intelligence, and strong communication skills
Bonus: Experience with our stack of TypeScript, React, and Postgres
Bonus: Experience in B2B SaaS, developer tools, or a related industry
Benefits (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
Competitive pay
Substantial equity grants
Healthcare insurance (Medical, Dental and Vision) for you and your family
401k matching
Wellness and fitness monthly allowances
PTO + paid holidays + unlimited sick leave
Autonomy and flexibility with remote work
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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$97k-134k yearly est. 2d ago
Machine Learning Engineer
Upstart 4.0
Operations engineer job in Columbus, OH
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while delivering the digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.
Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk.
If you are energized by the impact you can make at Upstart, we'd love to hear from you!
The Team
Upstart's Machine Learning, Personal Loan Underwriting team is focused on leveraging machine learning to power Upstart's underwriting models. This team builds the underwriting model which determines credit decisioning at Upstart and plays a central role in overall performance with numerous challenging problems to solve.
As a Machine Learning Engineer, PL UW at Upstart, you will collaborate with Research Scientists, Data Scientists, and other engineering departments. Your work will impact the team in a number of ways:
Increase ML productivity through better software and infrastructure; improve how we research, train, deploy, serve and monitor our models.
Reduce the time from idea to production and enable testing of new ideas to fulfill our mission of enabling access to credit more effectively.
Design and implement code and algorithms to improve our model's predictive power.
How you'll make an impact
Build repeatable workflows and automation that allow scientists to focus on high-leverage tasks (methodology, writing, analysis) and reduce time spent on maintenance.
Discover and develop a short and long-term roadmap of engineering improvements for the PL UW team.
Explore new algorithms and methodologies for our machine learning models.
Interface cross-functionally with other engineering teams to provide feedback and requirements for end-to-end high-quality systems.
Qualifications
Education and Experience
Phd in a quantitative field with 0+ years of relevant experience
Masters in a quantitative field with 2+ years of relevant experience
Bachelors in a quantitative field with 4+ years of relevant experience
Experience in Python
Experience with Machine Learning
Position location
This role is available in the following locations: Remote
Travel requirements
As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to spend high quality time in-person collaborating via regular onsite. The in-person sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
What you\'ll love
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsite sessions, ERGs, and interest groups
Catered lunches + snacks & drinks when working in offices
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#LI-Associate
Compensation
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range
$123,200-$170,500 USD
Equal Opportunity
Upstart is an Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.
Reasonable accommodations for applications, interviews, or pre-employment testing can be requested by emailing candidate_accommodations@upstart.com.
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$123.2k-170.5k yearly 3d ago
Product Engineer, AI Data Platform (Remote)
Dagster
Remote operations engineer job
A data-focused technology company is looking for a Product Engineer to enhance their platform and support data solutions. The role, which offers remote work flexibility across the United States, demands proficiency in Python and TypeScript. Ideal candidates will have over 3 years of experience and strong communication skills. The estimated salary is between $165,000 to $210,000, along with equity and benefits.
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$165k-210k yearly 3d ago
Machine Learning Engineer - Web Development AI
Odins3, Inc.
Remote operations engineer job
Odins3
Remote / Seattle
Full-time
Posted 685 days ago
AI Development
3+ years
$160K - $220K
0.05% - 0.2% equity
Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development.
About This Role
Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically.
This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization.
Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users.
Requirements
3+ years ML engineering experience
Strong Python, TensorFlow/PyTorch background
Experience with computer vision and NLP
Knowledge of web technologies and design principles
Experience with MLOps and model deployment
Understanding of design systems and UI/UX principles
Experience with cloud platforms (AWS, GCP, Azure)
Knowledge of containerization and orchestration
Experience with A/B testing and experimentation
Strong data analysis and visualization skills
Responsibilities
Develop ML models for automated web design
Deploy and monitor ML models in production
Research and prototype new AI capabilities
Optimize model performance and accuracy
Build data pipelines for training and inference
Collaborate with design team on AI‑generated layouts
Contribute to ML platform and infrastructure
Required Skills & Technologies
Python
TensorFlow
PyTorch
Scikit‑learn
NumPy
Computer Vision
NLP
MLOps
Docker
AWS
Redis
Airflow
Git
Equity package: 0.05% - 0.2%.
Unlimited PTO and flexible hours.
$4,000 annual learning budget.
Top‑tier hardware and equipment.
Conference attendance support.
Health and wellness benefits.
Team building and social events.
Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours.
Reporting Structure
Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team.
Job Summary
Department: AI Development
Experience: 3+ years
Type: Full‑time
Location: Remote / Seattle
Equity: 0.05% - 0.2%
Posted January 12, 2024
About Odins3
We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences.
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$160k-220k yearly 3d ago
Semiotic Labs - Rust Engineer
Decircle
Remote operations engineer job
We are a team of multidisciplinary experts in artificial intelligence, cryptography, and software engineering who collaborate to build solutions for unsolved problems in web3. We work on challenges such as trust-minimized micropayments, low-latency request processing, data verification, and dynamic pricing. We've published research at prestigious AI conferences like NeurIPS and developed novel optimization algorithms. We make web3 smarter and verifiable.
We are a core developer of The Graph protocol ($1B+ market cap), an indexing protocol for organizing and accessing the world's data. We are also the parent company of Odos, a market-leading liquidity aggregator that supports $5B+ in monthly trading volume.
You can learn more about Semiotic Labs at semiotic.ai or by watching this presentation.
The Role
We're looking for a Rust Engineer who's excited about building scalable, cryptographically secure systems for web3 infrastructure. You'll work on GraphTally, implementing performant, reliable components that enable stateless, one-way payment channels at scale. This role is ideal for someone who thrives on solving protocol design challenges and building robust, production-ready Rust code.
This role is perfect for those who thrive in a multidisciplinary team solving complex, unsolved problems through research and engineering. You\'ll excel here if you're excited about working on a small, agile team where your daily work drives innovation-both internally and across the web3 ecosystem. Above all, you should be passionate about delivering real value to users.
What You'll Do
Design, implement, and maintain core components of the GraphTally protocol in Rust.
Collaborate with researchers and protocol engineers to refine and evolve the architecture.
Optimize signature verification, message processing, and batching for high-throughput performance.
Implement secure state transition logic, trust-minimized payment flows, and smart contract interactions.
Work closely with smart contract engineers to ensure seamless on-chain integration (mainly on L2s like Arbitrum).
Write clean, testable, and efficient code with a focus on security and correctness.
Contribute to technical documentation, specifications, and developer tooling to support GraphTally adoption.
3+ years of professional experience writing high-performance, production-quality async code in Rust.
Experience in designing and implementing remote APIs (REST, JSON-RPC, gRPC).
Experience in responsive microservices design and development.
Experience with databases (Postgres, Redis).
Experience with Docker.
Deep understanding of cryptographic primitives, especially ECDSA and digital signature schemes.
Proficient with Rust's async/await model, leveraging futures, tokio, or async-std.
Understanding of asynchronous state machines for managing complex protocol flows.
Familiarity with zero-knowledge proofs, state/payment channels, or escrow mechanisms is a plus.
Strong grasp of trust-minimized systems, distributed protocols, or payment rails in a web3 context.
Experience working with Ethereum L2s (like Arbitrum, Optimism) and integrating with smart contracts.
Proficiency with testing, benchmarking, and debugging asynchronous Rust applications in the context of web3, using tools like Anvil.
Clear communication, curiosity, and a strong sense of ownership.
Bonus Points
Familiarity with The Graph protocol or Indexer infrastructure.
Exposure to decentralized microservice architectures or multi-agent systems.
Prior work on gas-optimized smart contracts or cryptographic batch verification.
Experience with zk SNARKs, RAVs, or verifiable off-chain aggregation techniques.
Why Join Semiotic Labs
Be part of a small, high-caliber team solving cutting-edge problems in decentralized infrastructure.
Work on a deeply technical and meaningful mission that helps scale web3.
Shape the direction of a foundational protocol used by agents and services across the ecosystem.
Fully remote, async-friendly team with competitive compensation and token upside.
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$102k-155k yearly est. 3d ago
Staff Backend Engineer
Sift Stack, Inc.
Remote operations engineer job
At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development.
Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable.
As an early engineer focused on our data infrastructure, you won't just write code-you'll define core architecture and help scale a real-time telemetry platform from the ground up. You'll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world.
In This Role, You'll:
Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second
Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads
Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs
Help define engineering culture, standards, and processes
Collaborate closely with peers on architecture, design, code reviews, and scaling strategies
The Skillset You'll Bring:
Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
7+ years of experience in backend, infrastructure, or data engineering roles
Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar
Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent
Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
Strong communication skills and a collaborative approach to problem-solving
Bonus Points:
Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
Experience building resilient, performant systems that scale to billions of records
Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
Engineering at Sift:
You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include:
Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript
Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust
Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux
Location:
The Sift team is based in El Segundo, CA, and we collaborate in person twice a week-Mondays and Thursdays. We work closely with LA's leading hardware companies, from autonomous vehicle manufacturers to spacecraft builders. Proximity matters for site visits and deep collaboration, so we prefer candidates local to Los Angeles. We are open to relocation and for exceptional talent we're open to remote work from the San Francisco Bay Area.
Salary range: $200,000 - $250,000 per year. Plus equity and benefits.
Eligibility:
Due to the nature of our work, U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements.
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$200k-250k yearly 4d ago
Staff Backend Engineer - Core AI
Anzen Technologies, Inc.
Remote operations engineer job
Anzen was founded by former insurance and tech executives who've collectively scaled three unicorns. Backed by leading investors like Andreessen Horowitz (a16z) and Madrona, we're on a mission to transform how companies choose and understand commercial insurance using AI.
Commercial insurance today runs on emails, PDFs, and lengthy underwriting cycles - often taking weeks to secure coverage. Anzen is building the world's first AI insurance platform for brokers, radically improving how they manage submissions, select markets, and generate quotes for their clients.
We've built a team from top universities, with experience scaling products at Google, Uber, Lyft, Oracle, and startups founded by the best investors in the world, and are continuing to scale our team in Mexico, Canada, and the United States.
You will build our core technology to ensure it can scale to hundreds of millions of dollars in insurance policies and use ML to help insurance underwriters be 5-10x more effective.
Responsibilities
Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts.
Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure.
Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements.
Elevate engineering quality, driving technical roadmaps and championing best practices.
Mentor our Engineering team and help define Engineering culture at Anzen.
What we're looking for
8+ years building data‑intensive or ML‑driven backend systems.
Production mindset: you've shipped business critical models with measurable business impact (latency, cost, ROI).
Broad ML toolbox, from classic ML (especially NLP) to GenAI.
Strong backend fundamentals: distributed systems, streaming data pipelines.
Fluency in Python and/or TypeScript in a production environment.
Startup DNA: thrive in ambiguity, bias to action.
$200,000 - $230,000 a year
Why Join Anzen:
Come join us in reinventing the future of insurance.
Work with advanced technologies in a rapidly growing industry.
Opportunities for professional development and career advancement.
A collaborative and innovative company culture focused on excellence and integrity.
Be part of a company that values proactive risk management and cutting‑edge solutions.
Company Culture:
Anzen believes the world of work is fundamentally different in the new post‑Covid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ.
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$200k-230k yearly 3d ago
AI/ML Engineer - Build Tax-Ready AI Features (Remote)
Keeper Tax Inc.
Remote operations engineer job
A technology company in the finance sector is seeking an experienced AI/ML engineer to develop user-friendly features powered by advanced machine learning tools. Ideal candidates will have a strong background in modern ML systems, proficiency in Python, and a collaborative spirit. This is a hybrid role requiring some in-office presence in San Francisco's Financial District, offering an opportunity to work on innovative projects in the tax domain.
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$84k-145k yearly est. 1d ago
Staff Product Engineer
Parafin Inc.
Remote operations engineer job
About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience.
Responsibilities
You will fully own our customer facing web product and drive its development
You will help define the product architecture all the way from the technologies we use to design principles that we apply
You will frequently talk to our customers to understand their needs and define the product experience
You will work closely with our product designers and ensure a high quality bar for our products
You will help scale the Parafin team by hiring exceptional talent
Requirements
6+ years of experience working in a web engineering role
You care deeply about building high quality software and take immense pride in your craft.
You are comfortable owning and driving the development of the product from 0 to 1.
You have a strong grasp of engineering fundamentals.
You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies.
You have a strong understanding of functional and reactive programming paradigms.
You are excited about working on a small team and helping us set the foundations for the company.
What We Offer
Salary Range: $235k - $300k
Equity grant
Medical, dental & vision insurance
Unlimited PTO & work from home flexibility
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.
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$97k-134k yearly est. 2d ago
Full Stack Engineer, Product & Systems
Jproqueni
Remote operations engineer job
About Lightfield
Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.
We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.
We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
About the role
We're looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of building scaled, performant features and systems that deliver exceptionally innovative AI product experiences.
At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what's possible in applied AI systems development. You'll work alongside a talented team to deliver industry-leading solutions and contribute to Lightfield product and technical vision.
What you'll do
Collaborate with product leaders to identify customer problems, scope requirements, and implement solutions.
Build and maintain full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance.
Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.
Mentor teammates, participate in code reviews, and help shape engineering culture and practices.
Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.
Who you are
3+ years of experience in software development, with a strong background in both front-end and back-end technologies.
Experience building scalable, high-performance systems that can support complex customer workflows and large-scale data processing.
You're excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.
You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
Strong fundamentals in software engineering, with a degree in Computer Science or a related field.
Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment.
Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.>
Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.
Benefits & Perks
Competitive salary
Meaningful early equity
Health insurance (medical, dental, vision)
3 weeks of PTO
11 paid company holidays + we enjoy a winter holiday break
3 months of paid family leave
Wednesdays work from home
Regular team dinners, events, offsites, and retreats
401k plan
Other perks include: commuter and lunch stipend
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$97k-134k yearly est. 5d ago
Staff ML Infra Engineer - Remote-First AI Platform
Rad Ai
Remote operations engineer job
A future-focused healthcare AI company in San Francisco is seeking a Staff Machine Learning Engineer to architect and maintain their machine learning infrastructure. In this role, you will develop cloud-native services and support advanced AI research to improve clinical outcomes. Ideal candidates should have 8+ years in ML Engineering, with strong Python skills and experience in cloud-native environments. This position also offers flexible working arrangements within a supportive team environment. Your contributions will have a meaningful impact on patient care.
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$98k-169k yearly est. 1d ago
Generative AI Engineer (LLM Expert)
Big Resourcing
Remote operations engineer job
Employment Type
Part Time / Contract
About BigRio
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.
About the Role
BigRio is seeking a highly skilled Generative AI Engineer with expert-level experience in LLMs, OpenAI APIs, prompt engineering, and retrieval-augmented generation (RAG). This is a senior, hands-on role-ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions. This is not a learning-on-the-job position.
You will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.
Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices).
Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy.
Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB.
Develop interactive AI tools and UIs using Gradio.
Ensure seamless SSO integration and secure access controls.
Connect and automate data pipelines including Google Drive integration.
Write clean, maintainable code in Python, and contribute to a collaborative, agile development environment.
Required Qualifications
3-5+ years of experience in AI/ML development, with proven, expert-level hands-on work in LLMs and Generative AI.
Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters.
Deep experience with prompt engineering and AI response optimization.
Production-level experience with Langchain, ChromaDB, and RAG architectures.
Proficiency with Gradio for front-end prototyping.
Experience with Docker, SSO, and cloud API integrations (e.g., Google Drive).
Strong problem-solving and communication skills.
Comfortable working independently and collaborating across time zones.
Nice to Have
Experience with other vector databases and frameworks.
Familiarity with MLOps or AI infrastructure tooling.
Previous experience in healthcare, biotech, or highly regulated domains.
Equal Opportunity Statement
BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.
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$84k-118k yearly est. 1d ago
Generative AI & Microservices Engineer - Remote
Medium 4.0
Remote operations engineer job
A leading technology company is seeking a skilled individual to design and code robust components as part of an innovative team. The role emphasizes working with cloud infrastructure and micro-services, requiring knowledge of API protocols and container systems such as Docker. Candidates should have at least 3 years of relevant experience and a Bachelor's degree. Benefits include comprehensive health coverage and a remote-first work policy.
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$67k-98k yearly est. 4d ago
Staff Protocol Engineer EVM
Promote Project
Remote operations engineer job
Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform.
We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO
Maintain and advance Avalanche's EVM-compatible chains.
Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility.
Here are some specific examples of projects you will contribute to:
libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts.
Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy.
WHAT MAKES YOU A GOOD FIT
A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand.
Please mention the word GLEEFUL and tag RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA== when applying to show you read the job post completely (#RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Job type: Remote job
web3
code
engineerengineering
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$67k-105k yearly est. 2d ago
Project Design Engineer
Blue Signal Search
Operations engineer job in Columbus, OH
A nationally recognized architectural and engineering consultancy is looking to add a technically sharp and forward-thinking Project Design Engineer - Structural to their team. With offices in key markets and a reputation for innovation and quality, this firm is known for tackling projects that span commercial, civic, and institutional sectors. You're being invited to join a dynamic team where your skills in structural design will be valued, and you'll have plenty of chances to learn and grow alongside talented colleagues in a supportive atmosphere.
What You'll Do:
Contribute to the design and documentation of building structures using steel, concrete, timber, and hybrid systems.
You'll play a key role in ensuring structural elements meet regulatory standards and are thoroughly analyzed for both new construction and renovation initiatives.
Work closely with project managers on design intent, deliverables, and timelines.
Collaborate with architects, MEP engineers, and other stakeholders to align structural solutions with project goals.
Participate in quality checks, internal reviews, and technical coordination across project milestones.
Help assess design challenges and offer technical input to guide project direction efficiently.
Qualifications:
A background in civil or structural engineering with a bachelor's degree is required, and having a postgraduate degree would be a significant advantage.
A strong background in structural engineering and building design is expected, with familiarity with a variety of materials and systems.
EIT with active progress toward PE/SE licensure, or currently licensed as a PE/SE.
Familiarity with relevant building codes and experience using structural modeling tools.
Team-first mindset with a track record of positive collaboration and quality execution.
Why Join This Firm?
Work on impactful projects that are shaping skylines and communities nationwide.
Mentorship from experienced professionals and a budgeted path for continuing education.
Strong internal culture that promotes autonomy, creativity, and career progression.
Benefits include:
Comprehensive health, dental, and vision plans
401(k) with match
Paid time off and company holidays
Annual bonus potential
Student loan repayment options
Certification/licensure reimbursement
Flexible schedules and work/life balance support
If you're ready to grow your technical capabilities while making a lasting impact through structural design, this role offers a compelling path forward.
About Blue Signal:
Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS
$57k-74k yearly est. 21h ago
Staff Frontend Engineer - Remote, Equity + Impact
Glu Mobile Inc. 4.6
Remote operations engineer job
A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions.
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$180k-220k yearly 1d ago
Design Engineer
By Recruiting
Operations engineer job in Springfield, OH
📍 Ohio, U.S. | Full-Time | Onsite
We are seeking an experienced NX Designer to support the design and development of aerospace tooling and ground support equipment for civil and defense applications. This role is part of a growing engineering organization supporting complex, high-quality products used by leading aerospace OEMs.
The ideal candidate is highly proficient in CAD Software, enjoys working closely with engineering and manufacturing teams, and is comfortable supporting designs from concept through production.
What You'll Do:
Create and modify 3D models and 2D drawings using Siemens NX or CATIA.
Support the design of aerospace tooling, fixtures, and ground support equipment.
Collaborate with engineers, manufacturing, and quality teams to ensure designs are manufacturable and compliant.
Update and maintain design documentation, BOMs, and drawing packages.
Support design changes, revisions, and continuous improvement initiatives.
Participate in design reviews and support production troubleshooting as needed.
What We're Looking For:
Strong proficiency in Siemens NX or CATIA (required).
Experience in aerospace manufacturing, tooling, fixtures, or heavy mechanical equipment preferred.
Ability to produce clear, accurate drawings and models to engineering standards.
Familiarity with GD&T and engineering documentation best practices.
Strong attention to detail and ability to work in a collaborative, deadline-driven environment.
Associate or Bachelor's degree in Mechanical Design, Engineering Technology, or related field preferred.
Why Join:
Work on high-impact aerospace products supporting civil and defense programs.
Join a growing organization with expanding U.S. manufacturing operations.
Collaborate with experienced engineers and manufacturing teams.
Competitive compensation and comprehensive benefits.
If you're an NX Designer who enjoys hands-on design work and seeing your designs built on the shop floor, we'd love to hear from you.