diff --git a/mlx/backend/cpu/compiled.cpp b/mlx/backend/cpu/compiled.cpp
index 53d6c47e3..296390a32 100644
--- a/mlx/backend/cpu/compiled.cpp
+++ b/mlx/backend/cpu/compiled.cpp
@@ -49,7 +49,7 @@ static CompilerCache& cache() {
 // GPU compile is always available if the GPU is available and since we are in
 // this file CPU compile is also available.
 namespace detail {
-bool compile_available_for_device(const Device& device) {
+bool compile_available_for_device(const Device& /* device */) {
   return true;
 }
 
@@ -168,7 +168,7 @@ inline void build_kernel(
   // Add the input arguments
   int cnt = 0;
   int strides_index = 1;
-  for (size_t i = 0; i < inputs.size(); ++i) {
+  for (int i = 0; i < std::ssize(inputs); ++i) {
     // Skip constants from the input list
     if (is_constant(i)) {
       continue;
@@ -238,7 +238,7 @@ inline void build_kernel(
     } else {
       os << x.primitive().name();
       os << "()(";
-      for (int i = 0; i < x.inputs().size() - 1; i++) {
+      for (int i = 0; i < std::ssize(x.inputs()) - 1; i++) {
         os << "tmp_" << namer.get_name(x.inputs()[i]) << ", ";
       }
       os << "tmp_" << namer.get_name(x.inputs().back()) << ");" << std::endl;
diff --git a/mlx/backend/cpu/inverse.cpp b/mlx/backend/cpu/inverse.cpp
index ddc979daa..3da657cbe 100644
--- a/mlx/backend/cpu/inverse.cpp
+++ b/mlx/backend/cpu/inverse.cpp
@@ -122,7 +122,7 @@ void inverse_impl(
       stream);
 
   const int N = a.shape(-1);
-  const size_t num_matrices = a.size() / (N * N);
+  const int64_t num_matrices = a.size() / (N * N);
 
   auto& encoder = cpu::get_command_encoder(stream);
   encoder.set_output_array(inv);
@@ -130,13 +130,13 @@ void inverse_impl(
   auto inv_ptr = inv.data<T>();
   if (tri) {
     encoder.dispatch([inv_ptr, N, num_matrices, upper]() {
-      for (int i = 0; i < num_matrices; i++) {
+      for (int64_t i = 0; i < num_matrices; i++) {
         tri_inv<T>(inv_ptr + N * N * i, N, upper);
       }
     });
   } else {
     encoder.dispatch([inv_ptr, N, num_matrices]() {
-      for (int i = 0; i < num_matrices; i++) {
+      for (int64_t i = 0; i < num_matrices; i++) {
         general_inv<T>(inv_ptr + N * N * i, N);
       }
     });