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Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Responsibilities Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Additional Information Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network. Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in San Diego, CA.

Contra is building the world's first professional network for independent creatives and the companies that hire them. We are commission-free, global, and focused on enabling the future of flexible work. Alongside our network and marketplace, we're launching new product lines including Contra for Companies, Contra Ads Network, and Creative RLHF & Evaluation Services for AI labs and creative tool companies. We've raised over $51M from leading investors like NEA, Unusual Ventures, and Cowboy Ventures-and we're just getting started. What you'll do: Build end-to-end features in our TypeScript, GraphQL, React monorepo, including AI capabilities (LLMs, embeddings, vector search, evals) Ship polished AI-driven user experiences that delight users Contribute to test suite, RFC process, code reviews, and cross functional product development Maintain code quality, eliminate technical debt, and improve performance What you need: Strong understanding of modern LLM systems, products and workflows Experience building performant, scalable systems with TypeScript, React, GraphQL Excellence in independent problem solving with high standards for quality Ability to thrive in fast paced, remote environment with strong communication skills Our Stack: Frontend: React, Relay, PandaCSS Data: Airbyte, dbt, Google BigQuery Testing: Playwright, Vitest AI: OpenAI, Cursor, Supermaven, CodeRabbit (for code reviews - it's actually great!) Total Comp: Home Office Budget We will provide you with a company laptop on your start date Interview Process Intro Call with Recruiting Team ( minutes) Interview with CTO & Co Founder (30 minutes) Technical Interview with Engineering Manager (60 minutes) Culture & Cross Functional Interview (40 minutes) Interview with CEO & Co Founder (30 minutes) Note: Contra communicates with applicants domains only. We never ask for money from potential employees. For the latest job postings, visit .

2 days ago Be among the first 25 applicants We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required Qualifications Professional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply. Seniorit y level Mid-Senior level Employment type Contract Job function Information Technology and Engineering Software Development About listings: Referrals are not a guarantee of interview opportunities. This description reflects the role to be performed and does not include all responsibilities and requirements.

About The Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. About The Safety Engineering Team The Safety Engineering team builds the platforms and tools that make OpenAI's models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI's technology. About The Role We're looking for a self-starter engineer who loves building products in an iterative, fast-moving environment-especially internal tools that unlock real-world impact. In this role, you'll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI's models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team's velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In This Role, You Will Own the end-to-end development of internal tools that help improve the safety of OpenAI's models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements-and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues Transform successful AI assisted safety workflows into external facing safety products, that empowers developers to build safer AI, uplift the industry standard for AI safety, and prepare the world for more capable AGI. You Might Thrive In This Role If You Have 5+ years of relevant engineering experience at tech and product-driven companies Are proficient with JavaScript, React, and other web technologies Are proficient with at least one backend language (we use Python) Have experience with relational databases like Postgres/MySQL Have an interest in AI/ML (direct experience not required) Are excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI's models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Join to apply for the Android Software Engineer, Ad Formats role at Reddit, Inc. Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet's largest sources of information. Brand Ad Formats Team Overview The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high visibility, awareness driven solutions that create memorable experiences for Reddit users. The team is working on multiple new formats, including a fully customizable interactive ad format and an AI powered format that incorporates user generated content. Responsibilities Build ad experiences and create patterns for Reddit's Android app that enhance ads' performance and functionality. Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges. Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy. Required Qualifications Proficiency in Android engineering and languages such as Kotlin or Java, with at least 3 years of experience in software development. Strong software engineering fundamentals. A willingness to tackle the challenges of creating data intensive, highly responsive, and fault tolerant apps. An openness to explore innovative approaches to software development. Bonus Points Experience working on ad tech. Able to work full stack. Technologies Used On The Team Include Languages: Kotlin, Java, Go, Python Frameworks: Thrift, gRPC Datastores: Postgres, DynamoDB, BigQuery Tools: Kubernetes, Argo, Docker Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days off Generous paid Parental Leave Paid Volunteer time off Pay Transparency This job posting may span more than one career level. In addition to base salary, the role is eligible for equity in the form of restricted stock units, and may also be eligible for a commission. Red dit offers a wide range of benefits to U.S. based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. Base pay ranges for all U.S. based job postings are disclosed to provide greater transparency. The Base Pay Range For This Position Is $190,800-$267,100 USD Candidate Privacy & EEO Statement During the interview, we will collect the following categories of personal information: identifiers, professional and employment related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.

Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.

We are looking for software engineers, preferably proficient in TypeScript. We prefer people who are comfortable in a full-stack role and have superhero strengths in building scalable backends. We play with a lot of hardware and spend a lot of time thinking about developer UX. We like written communications. We prefer to keep things simple and don't overthink first implementations. You should generally be curious, comfortable with the unknown, love experimentation, and be able to move fast. Overview Our high-level goal is to build a device/manufacturer agnostic integration layer that connects to various devices and exposes their functionality through a simple API. This task involves integrating dozens of different IoT brands and their protocols (Z-Wave, Zigbee, BACnet, OEM API, etc.) and neatly organizing them amongst common functionality. We spend a lot of time building this part of our stack. Client Libraries & APIs Our customers tend to be quite technical, and some of them even contribute code to our SDKs. We spend a lot of time creating tools and client libraries to make interfacing applications with devices easier. We strive to standardize device functions across brands and hide all the nasty complexity away. Qualifications 4+ years of full-stack development experience with expertise in TypeScript. Strong in SQL, particularly with PostgreSQL, including schema design, query optimization, and performance tuning. Familiarity with SRE principles, including incident management, monitoring, and system reliability. Experience in designing and maintaining scalable backend APIs and client libraries, with a focus on performance, reliability, and developer experience. You maintain a healthy balance between perfectionism and actually getting stuff done. Preferred Qualifications Prior experience working with both high growth stage private startups and larger scale companies. Previous experience or interest in IoT, hardware integration, or related fields is a bonus. About Seam Seam is an API for controlling a wide range of IoT devices. Today we primarily focus on door lock and access systems. Our customers span industries, such as hospitality, real estate, or even last-mile delivery, and range in size from startups-in-garage to public companies. Across the board, their goal is the same: use code to control hardware devices, and orchestrate the physical world. About You We generally seek "sharp minds with kind souls." We prefer generalists over specialists; we move quickly, with purpose; we enjoy working with each other and aim to be the best. Benefits 100% employer-paid health care insurance including medical, dental, vision + 75% dependent coverage Paid Time Off and Company paid holidays Base Pay Range: $130k - $200k per year + Equity Voluntary Self-Identification Seam participates in voluntary self-identification of disability for OFCCP compliance. Participation is voluntary and confidential, and will not affect your employment opportunities. If you choose to participate, the information will be used solely for equal employment opportunity reporting purposes.

Direct message the job poster from HireCapital Technical Recruiter placing talent at innovative and mission-driven organizations Title: Security Engineer Job Type: Permanent Company Overview: Our client is a rapidly growing technology firm operating at the intersection of global security and advanced infrastructure protection. They support mission-critical systems through innovative software and hardware deployments and are expanding their cybersecurity capabilities to meet increasing demand. The company offers a collaborative, high-impact environment where engineers can directly influence strategic security outcomes. Role Summary: We're seeking a hands-on Security Engineer to lead cyber threat detection and response initiatives across cloud and on-prem environments. This role is focused solely on cybersecurity-not compliance-and is critical to maturing the organization's defensive posture. You'll work closely with technology stakeholders to respond to security events, deploy modern endpoint and detection solutions, and help shape a growing function. This is a prime opportunity for someone who wants to build and own a cybersecurity function within a supportive, fast-paced team. Responsibilities: Lead cyber incident response efforts, including triage, containment, root cause analysis, and remediation Implement and manage endpoint detection and response (EDR/XDR) technologies across the enterprise Conduct vulnerability scanning and support penetration testing to uncover and resolve security gaps Monitor security event logs and alerts from SIEM and other security tools Support the development of internal processes and playbooks for threat response Collaborate with IT to ensure secure cloud and infrastructure configurations Stay current with emerging threats, attack vectors, and evolving detection strategies Contribute to the development of a growing security team and help define long-term security strategy Document incidents, lessons learned, and risk mitigations for continuous improvement Assist in Office 365 security configuration and cloud-based incident monitoring Qualifications: Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience) 3-5 years of direct experience in cybersecurity engineering, threat detection, or SOC operations Hands-on experience with security monitoring tools, SIEMs, and EDR platforms Familiarity with cloud security, network defense, and endpoint protection principles Experience in vulnerability management, exploit mitigation, and remediation practices Scripting skills (Python, PowerShell, or similar) are a plus Strong analytical and communication skills; able to work cross-functionally Industry certifications such as CISSP, CISM, CEH, GCIH, or Security+ are preferred Familiarity with NIST, ISO 27001, or other cybersecurity frameworks Employer-covered health insurance and strong dependent coverage Generous PTO policy including holidays and vacation days Performance-based annual bonus Opportunity to build and lead a new security function from scratch High-growth environment with executive support and long-term career potential HireCapital and our clients are equal-opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Seniority level Seniority levelAssociate Employment type Employment typeFull-time Job function Job functionEngineering, Information Technology, and Other IndustriesTechnology, Information and Media, Computer and Network Security, and IT Services and IT Consulting Referrals increase your chances of interviewing at HireCapital by 2x Get notified about new Security Engineer jobs in Washington DC-Baltimore Area . Junior Full Stack Software Engineer (JAVA) Washington, DC $100,000.00-$720,000.00 2 weeks ago Washington, DC $80,000.00-$120,000.00 5 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Hanover, MD $120,000.00-$170,000.00 3 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Junior F/E Software Engineer (Hybrid) - 23684 Columbia, MD $89,769.00-$130,000.00 5 days ago Annapolis Junction, MD $3,000.00-$5,250.00 1 week ago Annapolis Junction, MD $130,000.00-$270,000.00 3 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 90,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we're building AI features that will transform how our customers operate and grow their businesses That's why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value. This role is remote from the San Francisco Bay Area. What We Work With We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack: Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf React Native AWS, Kubernetes, Postgres and Terraform What You'll Do As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 90,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include: Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow. Build new AI features for our customers. Develop and define our microservice-based infrastructure. Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team). Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams. Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications. Improve performance, reliability, scalability, and security for our backend systems. What We're Looking For 2+ years of professional experience in software development. A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. A strong desire to move fast and have a significant impact. An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems. Ability to analyze and improve efficiency, scalability, and stability of various system resources. Demonstrates strong collaboration skills and team spirit. Flexible PTO Competitive health & dental insurance options, with premiums partially or fully covered by GG In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities) Fertility and adoption benefits via Carrot Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Dependent Care FSA Home office support The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience , location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer. Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What programming languages are you proficient in? Are you able to work remote from the San Francisco Bay Area? Select Are you legally authorized to work in the US? Select Do you now or will you in the future require sponsorship for work authorization in the US? Select We're a high-growth startup looking to work with ambitious people with a history of exceptional performance. In two paragraphs or less, please share a specific example where you went above and beyond.

Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Senior Software Engineer Base pay range: $150,000 - $200,000 per year About Neon Neon is a global payments and e commerce platform that helps game publishers earn more and maintain independence from app stores. Neon focuses on open, transparent commerce and developer centric infrastructure. About the Role As a Senior Software Engineer you'll lead, design and build key products and core systems for game creators, working closely with product leaders, designers and other engineers across the full stack. What You'll Do Develop and maintain both front end and back end components of the product. Collaborate closely with product leaders, designers, and fellow engineers to define, design and ship new features. Ensure features are scalable, performant, secure and user friendly. Write clean, maintainable, and efficient code, participate in code reviews and maintain documentation. What We Look For 5+ years of software engineering experience. Full stack background with strong focus on React and TypeScript. Excited about learning new things and flexing across the stack. Highly productive, able to take ownership of key initiatives and deliver results. Experience leading teams or projects and helping others level up their skills. Ability to work from Neon's offices in San Francisco or New York City. Seniority Level Mid Senior Level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Neon by 2x. Apply now.

People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .

Company Overview Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Project Overview Accelerate frontier research by evaluating, refining, and deploying AI-generated code solutions. Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable. Collaborate with cross functional teams to enhance AI driven coding solutions against industry performance benchmarks. Build agents that can verify code quality and identify error patterns. Hypothesize steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years at a top tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full stack applications and deploying scalable, production grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of the US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Application Process Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.