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
New AI Opportunities
Showing 61 – 79 of 79 jobs
Tag
Founding AI/ML Research Engineer
Bjak
201-500
South Korea
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding Machine Learning Engineer
Bjak
201-500
South Korea
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI/ML Research Engineer
Bjak
201-500
United States
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI/ML Research Engineer
Bjak
201-500
Singapore
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI/ML Research Engineer
Bjak
201-500
Hong Kong
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI Engineer
Bjak
201-500
United Kingdom
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:45
Founding AI Engineer
Bjak
201-500
Singapore
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:45
Founding AI Engineer
Bjak
201-500
Hong Kong
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI/ML Research Engineer
Bjak
201-500
Switzerland
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding Machine Learning Engineer
Bjak
201-500
United States
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI Engineer
Bjak
201-500
China
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding Machine Learning Engineer
Bjak
201-500
Switzerland
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI Engineer
Bjak
201-500
Switzerland
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI Engineer
Bjak
201-500
South Korea
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI Engineer
Bjak
201-500
United States
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI/ML Research Engineer
Bjak
201-500
United Kingdom
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding AI Engineer
Bjak
201-500
Germany
Full-time
Remote
true
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI Engineer
Bjak
201-500
Malaysia
Full-time
Remote
false
Build intelligent systems end-to-end - from models to real-world product experiences.A1 is a self-funded AI division backed by BJAK, operating fully in stealth. We’re building a new global consumer AI application around an important but non-mainstream use case — something real, practical, and deeply impactful.As a Founding AI Engineer, you will work at the intersection of machine learning, backend systems, and product engineering, turning models into polished, high-performing user experiences. You’ll work closely with a small, senior, technical team and have ownership across the entire engineering stack.Why This Role MattersYou will be the bridge between powerful ML models and real user-facing product experiences.You’ll shape the foundation of an entirely new AI product from zero — architecture, systems, and the first shipped features.You’ll work across ML integration, backend logic, and frontend experiences — building intelligent systems end-to-end.You’ll operate in a lean, fast, execution-driven environment where clarity, ownership, and craftsmanship matter.Your work directly influences the technical direction, velocity, and engineering DNA of A1.What You’ll DoBuild and ship full-stack features powered by ML models (LLMs, deep learning, multimodal, etc.)Work closely with ML engineers/researchers to integrate models into scalable, reliable backend systemsDevelop APIs, pipelines, and real-time services that support intelligent product behaviorBuild clean, performant UIs that surface model outputs in intuitive waysOwn the full development lifecycle — architecture, implementation, testing, deployment, monitoringDrive technical decisions that balance speed, quality, and scalabilityCollaborate directly with product and design to iterate fast and refine user workflowsContinuously improve system performance, latency, stability, and model integrationYou’ll Thrive Here If You…Own outcomes - you care about the end user, not just the codeEnjoy working across ML, backend, and frontend layersMove fast with clarity - V1 shipped today beats V3 planned for somedayThrive in ambiguity - you figure things out without waiting for perfect specsThink like a builder - small team, high leverage, real impactLearn aggressively - new frameworks, tools, and ideas excite youBring energy, discipline, and a high bar for executionCommunicate clearly and enjoy collaborating with deeply technical teammatesRequirementsBachelor’s degree in Computer Science, Software Engineering, or equivalentStrong proficiency in Python (required)2–5 years of experience in full-stack or backend-heavy engineeringStrong programming skills in JavaScript/TypeScript (Node.js, React, or similar)Experience integrating ML models into production systemsSolid understanding of building APIs, distributed systems, and cloud deploymentsComfortable working with SQL/NoSQL databasesStrong grasp of software architecture, testing, reliability, and debuggingAbility to work independently in a lean, remote-first, high-ownership environmentNice to HaveExperience deploying ML models (FastAPI, Flask, TensorFlow Serving, Triton, etc.)Familiarity with modern frontend stacks (Next.js, Vue, TypeScript)Experience with ML tooling (MLflow, Airflow, Docker, K8s, GCP/AWS)Exposure to LLM fine-tuning, embeddings, or model optimisationBackground in startups or fast-moving product teamsInterest in explainable AI or designing UI patterns for complex model outputsWhat You’ll GetCompetitive compensation with meaningful ownership and long-term upsideRemote-first setup - flexibility across regions and time zonesHigh-impact role with visibility across engineering, ML, and productA chance to shape a new global AI product from day zeroFlat, technical culture - your ideas and code matterThe backing of a profitable group valued at over US$2B, but the speed of a startupA seat at the table in defining the future of A1About A1A1 is a self-funded, independent AI division backed by BJAK. We’re building a new consumer AI application around a high-impact global use case that isn’t yet addressed by mainstream players. Operating fully in stealth, we’re assembling a small, elite team of ML and engineering builders who care about shipping real systems that make a difference.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-12-17 23:30
Founding AI/ML Research Engineer
Bjak
201-500
Malaysia
Full-time
Remote
false
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
Founding Machine Learning Engineer
Bjak
201-500
Singapore
Full-time
Remote
true
Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI division backed by BJAK, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case — something practical, meaningful, and far beyond the typical chatbot or productivity agent.As a Machine Learning Engineer, you will work at the core of our product: fine-tuning frontier-level models, shaping data pipelines, evaluating behavior, and bringing intelligent features into real production environments. You’ll operate with high autonomy within a small, deeply technical team.Why This Role MattersYou will turn state-of-the-art models into real product capabilities used by a global audience.You’ll define how our models behave — accuracy, safety, tone, and user experience.You’ll help build a new consumer AI product from zero, directly influencing its technical and product direction.Your work will ensure our models are not only powerful, but safe, reliable, and impactful at scale.What You’ll DoFine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratchDesign and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs.Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact.Ship models to production, optimise for latency and scale, and monitor drift or degradationCollaborate with product, engineering, and design to launch polished, user-facing AI featuresExplore new modeling approaches, optimisation methods, and product use casesWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation)Proficiency in PyTorch (preferred) or TensorFlowExperience in prompt engineering and dataset creation for alignment, tone, trust, and safetyFamiliarity with evaluation methods: perplexity, toxicity, relevance, robustnessSolid software engineering fundamentals — algorithms, data structures, clean codeAbility to operate in a fast, lean, and high-ownership environmentNice to HaveExperience with text generation, moderation, ranking, or personalisationExposure to RLHF or reinforcement learning for LLMsContributions to open-source ML projectsBackground in consumer-facing AI products or high-growth startupsWhat You’ll GetHigh ownership and autonomy from day oneDirect involvement in technical direction and product decisionsRemote-first flexibilityA high-impact role with visibility across ML, engineering, and productCompetitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI division under BJAK, focused on building a new consumer AI product with global relevance. We’re in full stealth and assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Machine Learning Engineer
Data Science & Analytics
2025-12-12 6:09
No job found
Your search did not match any job. Please try again