Find AI Work That Works for You
Latest roles in AI and machine learning, reviewed by real humans for quality and clarity.
I'm strong in:
Edit filters
Latest AI Jobs
Showing 61 – 79 of 79 jobs
Tag
Backend Engineer - Enterprise Agent (London)
X AI
5000+
USD
180000
-
440000
United Kingdom
Remote
false
About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
Apply
July 30, 2025
SRA / Associate Scientist, Analytical Development
Somite AI
11-50
-
United States
Full-time
Remote
false
About Somite.aiSomite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingAbout the Role:Somite seeks a highly motivated individual to join our Technical Development team. Reporting to the Sr. Director, CMC, his person will play a key role in the development and routine execution of analytical methods including flow cytometry, immunofluorescence, morphometry, qPCR, and cell-based potency assays. The selected candidate will be responsible for conducting experiments, analyzing data, and documentation within an electronic laboratory notebook. This is a hands-on role requiring expertise in mammalian cell culture and analytical methods relevant to cell therapy. This role requires the ability to be onsite in the lab Monday through Friday and may include occasional weekend work.Responsibilities:● Execute experimental studies to optimize specificity, sensitivity, precision, accuracy, and/or linearity of analytical methods.● Analyze and interpret experimental data, contributing to the development of robust and reliable assays.● Troubleshoot assay development and instrument operation issues as they arise.● Document assay development activities in detailed protocols and reports in an electronic lab notebook (Benchling).● Compose method procedures and train team members on new assays.● Run assays on samples generated during platform development studies.● Present experimental results and updates to internal teams.● Assist with general laboratory tasks as needed to ensure efficient operations.● Able to work occasional weekends.● Exhibit Somite’s Core Values.Qualifications:● B.S. in Biology or a related scientific discipline with at least 5 years of experience in drug development laboratory setting(s).● Familiarity with mammalian cell culture techniques, including experience with various cell types (e.g., iPSCs and differentiated phenotypes thereof).● Experience building analytical methods such as flow cytometry, immunofluorescence, qPCR, and cell-based potency assays.● Experience with electronic laboratory notebook (experience with Benchling is ideal).● Must be an adaptable team player prepared to work in, and embrace, a team-based culture.Preferred Qualifications:● Experience with assay development principles and considerations for method qualification.● Experience working in an early-stage company or a startup environment.Somite.ai’s Core Values:· We show up – fully accountable, all-in, doing whatever it takes· We act with urgency – swift, decisive, proactive· We support one another – collaborative, helpful, empatheticClick the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingBenefits:● Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.● Work alongside a talented and passionate team at the forefront of AI and cellular biology.● Contribute to the development of groundbreaking therapies that address significant unmet medical needs.● Enjoy a competitive salary / benefits package and a collaborative work environment.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!
No items found.
Apply
July 30, 2025
Lead/Senior Software Engineer, front end
Synthesia
501-1000
EUR
100000
100000
-
European Union
United Kingdom
Switzerland
Full-time
Remote
true
Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.
What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security. The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership The process does not need to take long - we can be done in seven working days. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.
Software Engineer
Software Engineering
Apply
July 30, 2025
Lead/Senior Software Engineer, front end
Synthesia
501-1000
EUR
100000
100000
-
0
United Kingdom
Switzerland
Anywhere
Full-time
Remote
true
Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.
What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security. The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership The process does not need to take long - we can be done in seven working days. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.
Software Engineer
Software Engineering
Apply
July 30, 2025
Senior RTB Product Manager (Taiwan)
Appier
501-1000
-
Taiwan
Full-time
Remote
false
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Analyze competitor strategies and market trends to identify optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across teams.
Qualifications:
Education: Background in Engineering, Data Science, Marketing, or related fields is a plus. Availability: Must be available full-time; based in TW preferred. Language Skills: Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences.
Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus. #LI-AK1
Product Manager
Product & Operations
Apply
July 30, 2025
ML Engineer - Speech (m/f/d)
Voize
51-100
-
Germany
Full-time
Remote
true
🎤 Why voize? Because we’re more than just a job!At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.voize is YCombinator-funded, already in use at over 600 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.💡 Your Mission:If you're a Machine Learning Engineer experienced with Speech recognition and are excited to work at the cutting edge of product design, applied ML research, and MLOps, then go ahead and apply! With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.🤝 Your Skillset – What you bring to the tableSeveral years hands-on experience in Deep Learning for speech recognition, including developing and optimising ASR-systems (not just academic research)Excellent foundation in STT (Speech-to-Text) system development with a focus on real-world applicationsExperience with owning the ML process end-to-end: from concept and exploration, to model productionization, maintenance, monitoring and optimizationShipped ML models to production with Python and PyTorchTrained new models from scratch and not just fine-tuning existing ones🚀 Your Daily Business – No two days are alikeTake ownership for the design, training, evaluation, and deployment of our deep learning models in the space of speech recognitionThe models you build and refine are at the heart of our applications and directly impact the end-userYou'll get to engineer large self-supervised trainings as well as fast inference for mobile devices and hosted environments🎯 Our Success Mindset – How we work at voizeResilience is one of your strengths – you see challenges as opportunities, not obstaclesIterative working suits you – you test, learn, and improve constantly instead of waiting for perfectionCommunication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback🌱 Growing together – what you can expect at voizeBecome a co-creator of our success with virtual stock optionsOur office is in Berlin, and we offer remote workWe provide flexible working hours because you know best when you work most efficiently!Access to various learning platforms (e.g., Blinkist, Audible, etc.)We have an open culture and organize regular work weeks and team events to collaborate and bondWe are a fast-growing startup, so you'll encounter various challenges, providing the perfect foundation for rapid personal growthYour work will make a real impact, helping alleviate the workload for healthcare professionalsFree Germany Ticket and Urban Sports Club membership30 days of vacation – plus your birthday off✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
Apply
July 30, 2025
Customer Service Specialist , Ad.Creative
Appier
501-1000
USD
-
Taiwan
Full-time
Remote
true
About Us Recognized by G2 as the 3rd fastest-growing product globally in both 2023 and 2024, AdCreative.ai is a Paris-based startup backed by Europe’s top investors. In just 18 months, we've gone from $0 to $40M in ARR, serving users in 192+ countries—and we’re just getting started. We help businesses of all sizes—from solopreneurs to global brands—create high-converting ad creatives powered by AI. With a team of 70+ people across the world (including 25 at our Paris HQ), we’re building the future of advertising—and we want you on this journey. About the Role We’re looking for a Customer Service Specialist based in Taiwan who’s excited to help users succeed and take ownership in a global, fast-paced environment. You’ll join a passionate team, support users via chat and email, and ensure every customer gets maximum value from AdCreative.ai. This role is perfect if you: ✅ Are passionate about tech, startups, and AI
✅ Love helping people and solving problems
✅ Want to grow in a fast-paced, international company What You'll Be Doing Deliver friendly, fast, and helpful support via chat and email Troubleshoot user issues and guide them through features Help customers get the best results and ROI with AdCreative.ai Track and prioritize customer feedback to improve the product Be the voice of the customer—collaborate with product and tech teams Contribute to our help center and internal documentation Join weekly team meetings, brainstorms, and knowledge sessions
What We're Looking For Fluent in English (written and spoken) Excellent communication skills and a positive, proactive mindset Self-starter who works well independently and takes initiative Organized and detail-oriented A problem-solver who enjoys figuring things out
Bonus points if you have:
✨ Experience in customer-facing roles
✨ Familiarity with Intercom, Zendesk, or other CRMs
✨ An interest or background in marketing, SaaS, or design tools What You'll Get 🚀 Full onboarding and training
🌎 Work with a global, fast-growing team
📈 Career progression opportunities—we love promoting from within!
🧠 Firsthand experience with the world’s leading AI ad platform
🎉 Flexible, remote-friendly culture
💬 A supportive, collaborative, and fun team
💰 Competitive salary based on experience #L1-RL1
No items found.
Apply
July 30, 2025
Senior Data Scientist
Faculty
501-1000
0
0
-
0
United Kingdom
Full-time
Remote
false
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Data Scientist
Data Science & Analytics
Apply
July 30, 2025
Engineering Manager – Guard Foundations (Zürich)
Lakera AI
51-100
-
Switzerland
Full-time
Remote
false
Engineering Manager – Guard Foundations (Zürich)
At Lakera, we're building the next generation of GenAI security products empowering developers to ship safely and securely in a world of fast-moving AI. Guard is at the heart of that mission: a developer-first platform for detecting and preventing AI misuse, abuse, and hallucinations.
The Guard Foundations team builds the critical infrastructure that enables Guard to scale with speed, performance, and reliability. This is not just backend engineering it’s about creating the architectural and operational bedrock that accelerates innovation across all Guard teams.
If you’re excited by infrastructure and platform challenges at the intersection of performance, scale, and ML systems and love enabling others to move faster this role is for you.
What you’ll doAs an Engineering Manager for Guard Foundations, you will:Lead and grow a team of 5–10 engineers focused on infrastructure, performance, and scalability.Own the core systems that power Guard: observability, feature toggles, config management, rate limiting, auth, caching layers, and more.Drive engineering excellence: enable high performance across Guard with clean interfaces, high-quality code, great tests, and robust deployments.Partner with product teams: unblock and accelerate innovation by building reusable infrastructure components, tooling, and abstractions.Make performance a product feature: reduce latency, optimize throughput, and increase system reliability across the Guard stack.Coach and grow talent: mentor engineers with empathy and clarity; hire and retain top performers.Shape long-term direction: work with leadership to define the foundational roadmap for Guard.
What we're looking for3+ years of engineering management experience, leading platform teams.Strong systems thinking: you don’t need to code daily, but you think deeply about architecture, performance, and operational resilience.Track record of building infrastructure that scaled with product growth and enabled developer velocity.Collaboration skills: you work well with product, design, and engineering peers unblocking and accelerating others.Bias for action and accountability you move fast, focus on outcomes, and bring clarity in ambiguity.People-first mindset: you build high-trust, high-performance teams through coaching and care.Humility, curiosity, and pragmatism: you value impact over ego.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.
Software Engineer
Software Engineering
Apply
July 30, 2025
General Interest
Intangible
11-50
-
United States
Full-time
Remote
true
About IntangibleIntangible is a spatial intelligence AI company for creatives in film, advertising, events, marketing and interactive media. We make constructing 3D experiences dramatically faster, cheaper and more collaborative for creative, distributed teams. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels.We are a design-obsessed team shipping a groundbreaking product — and we’re looking for someone who shares our attention to detail and love of craft in building fun things. If you’ve been looking for something with actual creative freedom and real impact I promise you - this is it.
General InterestWe’re always excited to meet talented, driven individuals who want to shape the future with us. If you don’t see an open role that matches your expertise but believe you’d be a great fit for our team, we’d love to hear from you!Submit your application and we’ll keep your details on file. When the right opportunity comes up, we’ll be sure to reach out.
No items found.
Apply
July 29, 2025
Analyst, Enterprise Analytics
Hive
201-500
-
United States
Full-time
Remote
false
About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Analyst, Enterprise Analytics
We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products. As an Analyst on our Enterprise Analytics team, you will work closely with the Hive Media team to support delivery and growth of our media business. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. This is a great opportunity to be an integral part of a fast-growing startup, and you’ll be able to learn the ins and outs of how to support a team of innovative leaders who relentlessly pursue the best experience possible for all of our clients.
ResponsibilitiesConduct internal and external analysis on Hive offerings to refine solutions and commercialization strategiesCommunicate outcomes of various projects and analytics to ensure growth and development of business goals Collaborate with machine learning and engineering teams in developing working solutions that benefit the client Enhance awareness in the targeted business community of Hive and our products / servicesMaintain awareness of industry best practices for data maintenance handling as it relates to your roleAdhere to policies, guidelines and procedures pertaining to the protection of information assetsReport actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements You have a Bachelor's degreePreferred: You have 0-1 years of work experience Excellent written and verbal communication skillsYou have demonstrated success in a competitive environmentYou are highly self-motivated and ambitious in achieving goalsStrong team player, but can work and execute independentlyYou’re driven; no one needs to push you to excel; that’s just who you areYou are hungry to learn and you actively look for opportunities to contributeYou are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
Data Analyst
Data Science & Analytics
Apply
July 29, 2025
Staff Product Designer, Handshake AI
Handshake
1001-5000
-
United States
Full-time
Remote
false
Staff Product Designer, Handshake AIYour impactHandshake is building the future of human data for AI. We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’re hiring a strategic, impact-driven Product Designer to help shape the next frontier of human data. You’ll play a key role in developing platforms used by real human experts to generate high-quality training and evaluation data for LLMs at top AI labs.You’ll design intuitive experiences that help experts onboard, complete training, contribute high-quality data, and get paid—while also supporting the internal tools and operations systems that scale these workflows. Your work will ensure these experiences are seamless, efficient, and built to scale, driving both product and operational excellence. Your work will help define how human expertise powers the next generation of AI—shaping product direction, scaling expert workflows, and accelerating progress in LLM research and performance.Your roleOrganize, craft, and iterate on large, strategic initiatives: you'll use data, research, and product thinking to form your product vision, and make that future tangible by painting possible paths forward in pixels and prototypesCollaborate closely with your partners, both cross-functionally and within design: research, PM, engineering, operations, analytics, design systems, brand, marketing – to ship and iterate on strategic, well-thought-out, great-to-use products that make real impact for both our fellows, operators, and customer labsHelp your team succeed: raise the bar on culture, operations, and execution of design work, including product reasoning, systems thinking, pixel level precision, prototyping, ability to facilitate conversations with and present to stakeholders, stellar teamwork and mentoringStrengthen the overall product organization's ability to experiment, iterate, and learn alongside your product organization to lead teammates; develop well-informed strategic visions of where we're headed, collaborate to break them into pragmatic phases to scaffold our way forwardYour experienceYou've designed and shipped products that customers love, and can systematically, clearly articulate what it took to make that happen, from high-level strategy down to pixel-level decision-makingYou know how to roll data, research, business goals, technical constraints, and customer needs together into strongly-crafted solutions (mocks, prototypes, flows); you iterate fast, ensure you gather feedback, and use strategic reasoning to inform your decisionsYou relish using your design skills to bring clarity and simplicity to both process and productYou're humble and kind, excited to keep learning, and curious about the workings of a new technology, industry, and ever-evolving team / product surface areaExtra bonus if you're experienced with AIWhat we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.
Product Designer
Creative & Design
Apply
July 29, 2025
Freelance Ecology / Environment Science - AI Trainer
Mindrift
1001-5000
USD
0
0
-
50
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
No items found.
Apply
July 29, 2025
Freelance Ecology / Environment Science - AI Trainer
Mindrift
1001-5000
USD
0
0
-
50
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
Apply
July 29, 2025
Freelance Ecology / Environment Science - AI Trainer
Mindrift
1001-5000
USD
0
0
-
50
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
No items found.
Apply
July 29, 2025
Freelance Ecology / Environment Science - AI Trainer
Mindrift
1001-5000
USD
0
0
-
50
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
Apply
July 29, 2025
Freelance Ecology / Environment Science - AI Trainer
Mindrift
1001-5000
0
0
-
0
United States
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
Apply
July 29, 2025
Commercial Counsel
Anthropic
1001-5000
USD
0
265000
-
320000
United States
Full-time
Remote
false
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking an exceptional Commercial Counsel to join our growing Commercial Legal team in New York City! You'll serve as a strategic legal partner to our enterprise sales teams, driving complex deal negotiations and commercial activities that fuel our expansion, including in regulated sectors. In this highly impactful role, you'll guide sophisticated technology transactions with financial services, life sciences, and other highly regulated clients, directly supporting our strategic objectives to facilitate the responsible deployment of AI. Responsibilities: Serve as a key strategic advisor to enterprise sales leadership on complex commercial deals and contractual matters in regulated industries Lead negotiations and close sophisticated, high-value enterprise agreements with financial services, life sciences, and other heavily regulated clients Navigate regulatory compliance requirements and sector-specific contracting considerations Design and implement scalable contract frameworks, playbooks, and processes to support our fast-growing enterprise sales organization globally Identify, analyze, and proactively manage complex legal and regulatory risks while maintaining deal velocity in our rapidly evolving AI landscape Anticipate emerging legal developments affecting AI technologies in regulated sectors and provide strategic guidance to cross-functional leadership Foster relationships with external stakeholders, including enterprise clients, regulatory bodies, and industry partners You might be a good fit if you have: A JD from an accredited law school and active membership in at least one U.S. state bar 7+ years of relevant legal experience supporting enterprise sales and complex commercial transactions in regulated industries Significant experience in financial services, life sciences, healthcare, or similar heavily regulated sectors Deep expertise in complex technology agreements and regulatory compliance frameworks relevant to the adoption of experimental and emerging technologies by regulated industries Exceptional business judgment and ability to balance legal risk with commercial objectives in fast-moving deal environments Proven track record of thriving in fast-paced, ambiguous environments with shifting priorities and tight deadlines Outstanding ability to navigate novel legal challenges with minimal precedent in cutting-edge technology applications Executive-level communication skills with the ability to influence enterprise clients and senior leadership A collaborative, solutions-oriented approach to supporting high-velocity enterprise sales processes Strong understanding of AI technology trends and commitment to responsible AI deployment in regulated environments Strong candidates may have: In-house experience at leading technology companies serving regulated industries Previous experience with AI, machine learning, or other experimental technologies in commercial contexts Experience supporting enterprise sales teams in deal negotiations and client relationship management Application Deadline: 4pm PT on August 14, 2025. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.The expected salary range for this position is:Annual Salary:$265,000—$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
No items found.
Apply
July 29, 2025
Forward Deployed Architect - Support
Loop
51-100
USD
0
130000
-
150000
United States
Full-time
Remote
false
About Loop Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role
We are seeking a technically adept and proactive team member to join our Post-Production Support team as a Technical Support Architect. This role is critical in ensuring the ongoing stability, performance, and continuous improvement of deployed integration solutions between Loop and our clients’ TMS, FPA, WMS, YMS, ERP, and BI systems. The ideal candidate has hands-on experience with cloud architecture, integration methods (APIs, flat files, EDI), and development in Python or JavaScript. A strong problem-solving mindset, ability to triage and resolve technical issues, and a focus on optimizing support processes are essential. Key Responsibilities Own post-go-live technical support for all deployed integrations, ensuring system uptime, data integrity, and seamless operation between Loop and client systems (TMS, ERP, BI, etc.). Triage, diagnose, and resolve integration incidents and service requests—acting as the technical escalation point for complex issues reported by clients or internal teams. Monitor integration health using observability tools and dashboards; proactively identify and address performance bottlenecks, data syncing issues, or integration failures. Lead root cause analysis for major incidents; document findings, recommend preventive measures, and implement fixes to reduce recurrence. Develop and maintain runbooks, knowledge base articles, and support documentation to empower Tier 1/Tier 2 teams and improve resolution efficiency. Collaborate with Product and Engineering teams to communicate recurring issues, gaps, or enhancement requests—ensuring client feedback directly informs the product roadmap. Deliver targeted training and enablement for client teams and internal support staff on integration best practices, troubleshooting, and system usage. Manage the technical aspects of minor enhancements and patches post-launch, coordinating testing and release with minimal disruption to client operations. Participate in cross-functional incident management processes; lead technical bridge calls during critical outages and ensure transparent, timely client communication. Track and report key support metrics (e.g., MTTR, incident volume, client satisfaction); use data to identify trends and drive continuous improvement in support delivery. Maintain a strong understanding of industry standards and emerging technologies in logistics, ERP, and integration platforms to recommend relevant upgrades or innovations.
Qualifications Hands-on experience with cloud-based integration development (Python, JavaScript) and modern DevOps practices. Deep familiarity AWS, AZURE, GCP, and Integration platforms Proven ability to troubleshoot complex integration issues across APIs, flat files, and EDI. Strong organizational skills to manage multiple concurrent support cases and prioritize based on business impact. Excellent communication to liaise between technical teams, clients, and business stakeholders. Proactive, customer-focused mindset with a commitment to operational excellence and continuous improvement.
Success Measures Reduction in incident volume and resolution time for integration-related issues. High client satisfaction scores and low escalation rates. Effective knowledge transfer to Tier 1/Tier 2 support teams. Identification and implementation of process improvements that reduce support costs or enhance system reliability. Benefits & Perks Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan, FSA, Commuter benefits Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, or ski membership Salary Range based on experience and skills 130,000 - 150,000 Why You Should Join Loop
Solutions Architect
Software Engineering
Apply
July 29, 2025
Growth Engineer
HappyRobot
11-50
-
United States
Full-time
Remote
false
About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast, on track to hit double digit ARR by June this year.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment, working from 9 to 9, six days a week.About The RoleWe’re looking for Growth Engineers to join our team. In this role, you’ll lead the design, execution, and analysis of high-impact growth experiments, leveraging data-driven insights, automation, and technical innovation. Tech ProfileExperience with SQL, Python, and Typescript.Collaborate with cross-functional teams to implement and iterate on high-impact strategies.Strong technical acumen and ability to work with engineering teams on growth-focused projects.Must HaveStrong communication skills.Founder Mindset - You're here for a reason and ready to take risks for something unknown.Passion for fast-paced, high-growth environments and a bias for action.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles
Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
Software Engineer
Software Engineering
Apply
July 29, 2025
No job found
Your search did not match any job. Please try again
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.