Top Machine Learning Engineer Jobs Openings in 2025

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $60/hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At 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 Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. Develop and implement automation scripts, custom tools, environments and test harnesses. Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. Advise on cybersecurity best practices and policy implications.How to get started Simply 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.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or other related fields. Your level of English is advanced (C1) or above.Proficient in scripting and automation using Python, Bash, or PowerShell.Experienced with containerization and CI/CD security tools, especially Docker. Hands-on experience with penetration testing across web, API, network, and infrastructure environments. Knowledge of vulnerabilities in current AI models, including prompt injections, with knowledge of OWASP Top 10 for Large Language Models (LLMs).Familiar with AI red-teaming frameworks such as garak or PyRIT. Experience in AI/ML security, evaluation, and red teaming, particularly with LLMs, AI agents, and RAG pipelines. Proficient in offensive exploitation and exploit development.Skilled in reverse engineering using tools like Ghidra or equivalents. Expertise in network and application security, including web application security. Knowledge of operating system security concepts such as Linux privilege escalation and Windows internals. Familiar with secure coding practices for full-stack development. 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 $56/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.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At 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 Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. Develop and implement automation scripts, custom tools, environments and test harnesses. Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. Advise on cybersecurity best practices and policy implications.How to get started Simply 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.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or other related fields. Your level of English is advanced (C1) or above.Proficient in scripting and automation using Python, Bash, or PowerShell.Experienced with containerization and CI/CD security tools, especially Docker. Hands-on experience with penetration testing across web, API, network, and infrastructure environments. Knowledge of vulnerabilities in current AI models, including prompt injections, with knowledge of OWASP Top 10 for Large Language Models (LLMs).Familiar with AI red-teaming frameworks such as garak or PyRIT. Experience in AI/ML security, evaluation, and red teaming, particularly with LLMs, AI agents, and RAG pipelines. Proficient in offensive exploitation and exploit development.Skilled in reverse engineering using tools like Ghidra or equivalents. Expertise in network and application security, including web application security. Knowledge of operating system security concepts such as Linux privilege escalation and Windows internals. Familiar with secure coding practices for full-stack development. 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 $44/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.